π¨ CVE-2026-49086
Improper Input Validation, Unintended Proxy or Intermediary ('Confused Deputy') vulnerability in Apache Camel DAPR component.
The camel-dapr Dapr Pub/Sub consumer (DaprPubSubConsumer) copied two fields from each inbound CloudEvent - its Pub/Sub component name and its topic - into the CamelDaprPubSubName and CamelDaprTopic Exchange headers. These two headers are producer-direction routing headers: when the route republishes through a Dapr producer, DaprConfigurationOptionsProxy reads them back and prefers them over the destination configured on the endpoint. As a result, in a route that consumes from one Dapr Pub/Sub topic and republishes to another (for example from('dapr-pubsub:p:t').to('dapr-pubsub:p:other')), an actor able to publish a message to the subscribed topic could set the CloudEvent's pub/sub-name and topic to values of their choosing and cause the re-published message to be delivered to an arbitrary Dapr Pub/Sub component and topic instead of the configured destination - redirecting or exfiltrating the message and bypassing the route's intended routing and any topic-level access controls in the underlying broker. Exploitation requires the ability to publish to the topic the route subscribes to; no other authentication or user interaction is needed.
This issue affects Apache Camel: from 4.12.0 before 4.14.8, from 4.15.0 before 4.18.3, from 4.19.0 before 4.21.0.
Users are recommended to upgrade to version 4.21.0, which fixes the issue. If users are on the 4.14.x LTS releases stream, then they are suggested to upgrade to 4.14.8. If users are on the 4.18.x releases stream, then they are suggested to upgrade to 4.18.3. For deployments that cannot upgrade immediately, remove the CamelDaprPubSubName and CamelDaprTopic headers from the Exchange between the Dapr consumer and any Dapr producer in the route (for example removeHeaders('CamelDaprPubSubName', 'CamelDaprTopic')), and restrict who can publish to the subscribed Dapr Pub/Sub topic so that only trusted producers can send to it.
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Improper Input Validation, Unintended Proxy or Intermediary ('Confused Deputy') vulnerability in Apache Camel DAPR component.
The camel-dapr Dapr Pub/Sub consumer (DaprPubSubConsumer) copied two fields from each inbound CloudEvent - its Pub/Sub component name and its topic - into the CamelDaprPubSubName and CamelDaprTopic Exchange headers. These two headers are producer-direction routing headers: when the route republishes through a Dapr producer, DaprConfigurationOptionsProxy reads them back and prefers them over the destination configured on the endpoint. As a result, in a route that consumes from one Dapr Pub/Sub topic and republishes to another (for example from('dapr-pubsub:p:t').to('dapr-pubsub:p:other')), an actor able to publish a message to the subscribed topic could set the CloudEvent's pub/sub-name and topic to values of their choosing and cause the re-published message to be delivered to an arbitrary Dapr Pub/Sub component and topic instead of the configured destination - redirecting or exfiltrating the message and bypassing the route's intended routing and any topic-level access controls in the underlying broker. Exploitation requires the ability to publish to the topic the route subscribes to; no other authentication or user interaction is needed.
This issue affects Apache Camel: from 4.12.0 before 4.14.8, from 4.15.0 before 4.18.3, from 4.19.0 before 4.21.0.
Users are recommended to upgrade to version 4.21.0, which fixes the issue. If users are on the 4.14.x LTS releases stream, then they are suggested to upgrade to 4.14.8. If users are on the 4.18.x releases stream, then they are suggested to upgrade to 4.18.3. For deployments that cannot upgrade immediately, remove the CamelDaprPubSubName and CamelDaprTopic headers from the Exchange between the Dapr consumer and any Dapr producer in the route (for example removeHeaders('CamelDaprPubSubName', 'CamelDaprTopic')), and restrict who can publish to the subscribed Dapr Pub/Sub topic so that only trusted producers can send to it.
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Apache Camel
Apache Camel Security Advisory - CVE-2026-49086
The camel-dapr Dapr Pub/Sub consumer (DaprPubSubConsumer) copied two fields from each inbound CloudEvent - its Pub/Sub component name and its topic - into the CamelDaprPubSubName and CamelDaprTopic Exchange headers. These two headers are producer-directionβ¦
π¨ CVE-2026-56140
Improper Input Validation vulnerability in Apache Camel AWS SNS component.
The camel-aws2-sns component filters Camel headers through a component-specific HeaderFilterStrategy, Sns2HeaderFilterStrategy. Like the sibling Sqs2HeaderFilterStrategy, it originally configured only an outbound filter (setOutFilterPattern, which blocks Camel*, breadcrumbId and org.apache.camel.* headers from being written out) and did not configure an inbound filter rule. For the related camel-aws2-sqs component this inbound gap was exploitable, because the Sqs2Consumer maps inbound SQS message attributes into the Camel Exchange via HeaderFilterStrategy.applyFilterToExternalHeaders, allowing a message sender to inject Camel control headers (tracked as CVE-2026-46456). camel-aws2-sns, by contrast, is producer-only: Sns2Endpoint does not support consumers (createConsumer throws UnsupportedOperationException, 'You cannot receive messages from this endpoint'), so no externally-supplied message attributes are ever mapped inbound into a Camel Exchange through SNS, and the missing inbound filter rule on Sns2HeaderFilterStrategy was therefore not reachable by an attacker. As part of the same fix (CAMEL-23506), an inbound filter rule (setInFilterStartsWith for the Camel namespace) was added to Sns2HeaderFilterStrategy so that its configuration matches the corrected Sqs2HeaderFilterStrategy and the other sibling strategies. This is a defense-in-depth alignment with no known exploit path in camel-aws2-sns.
This issue affects Apache Camel: from 4.0.0 before 4.14.8, from 4.15.0 before 4.18.3, from 4.19.0 before 4.21.0.
This is a defense-in-depth hardening change with no known exploit path in camel-aws2-sns, which is producer-only, so no urgent action or workaround is required. Users who want the aligned behaviour can upgrade to version 4.21.0, or to 4.14.8 on the 4.14.x LTS releases stream, or to 4.18.3 on the 4.18.x releases stream, which contain the change. As a general best practice, operators should continue to apply least-privilege IAM permissions on their SNS topics.
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Improper Input Validation vulnerability in Apache Camel AWS SNS component.
The camel-aws2-sns component filters Camel headers through a component-specific HeaderFilterStrategy, Sns2HeaderFilterStrategy. Like the sibling Sqs2HeaderFilterStrategy, it originally configured only an outbound filter (setOutFilterPattern, which blocks Camel*, breadcrumbId and org.apache.camel.* headers from being written out) and did not configure an inbound filter rule. For the related camel-aws2-sqs component this inbound gap was exploitable, because the Sqs2Consumer maps inbound SQS message attributes into the Camel Exchange via HeaderFilterStrategy.applyFilterToExternalHeaders, allowing a message sender to inject Camel control headers (tracked as CVE-2026-46456). camel-aws2-sns, by contrast, is producer-only: Sns2Endpoint does not support consumers (createConsumer throws UnsupportedOperationException, 'You cannot receive messages from this endpoint'), so no externally-supplied message attributes are ever mapped inbound into a Camel Exchange through SNS, and the missing inbound filter rule on Sns2HeaderFilterStrategy was therefore not reachable by an attacker. As part of the same fix (CAMEL-23506), an inbound filter rule (setInFilterStartsWith for the Camel namespace) was added to Sns2HeaderFilterStrategy so that its configuration matches the corrected Sqs2HeaderFilterStrategy and the other sibling strategies. This is a defense-in-depth alignment with no known exploit path in camel-aws2-sns.
This issue affects Apache Camel: from 4.0.0 before 4.14.8, from 4.15.0 before 4.18.3, from 4.19.0 before 4.21.0.
This is a defense-in-depth hardening change with no known exploit path in camel-aws2-sns, which is producer-only, so no urgent action or workaround is required. Users who want the aligned behaviour can upgrade to version 4.21.0, or to 4.14.8 on the 4.14.x LTS releases stream, or to 4.18.3 on the 4.18.x releases stream, which contain the change. As a general best practice, operators should continue to apply least-privilege IAM permissions on their SNS topics.
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Apache Camel
Apache Camel Security Advisory - CVE-2026-56140
The camel-aws2-sns component filters Camel headers through a component-specific HeaderFilterStrategy, Sns2HeaderFilterStrategy. Like the sibling Sqs2HeaderFilterStrategy, it originally configured only an outbound filter (setOutFilterPattern, which blocksβ¦
π¨ CVE-2026-49297
Apache Airflow's Google provider operators `GCSToSFTPOperator` and `GCSTimeSpanFileTransformOperator` joined GCS object names returned by the bucket listing API directly to a destination filesystem path without normalisation or containment check. A user with write access to the source GCS bucket (typically a different trust principal than the DAG author β partner uploads, ingest-only service accounts, public-data buckets) could create an object whose name contains `..` segments and cause the DAG run to write the downloaded blob outside the configured destination (the SFTP `destination_path` for `GCSToSFTPOperator`; the worker-local temp directory for `GCSTimeSpanFileTransformOperator`), enabling overwrite of arbitrary files on the SFTP server or the worker host. Affects deployments that ingest from buckets writable by less-trusted principals. Users are advised to upgrade to `apache-airflow-providers-google` 22.2.1 or later.
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Apache Airflow's Google provider operators `GCSToSFTPOperator` and `GCSTimeSpanFileTransformOperator` joined GCS object names returned by the bucket listing API directly to a destination filesystem path without normalisation or containment check. A user with write access to the source GCS bucket (typically a different trust principal than the DAG author β partner uploads, ingest-only service accounts, public-data buckets) could create an object whose name contains `..` segments and cause the DAG run to write the downloaded blob outside the configured destination (the SFTP `destination_path` for `GCSToSFTPOperator`; the worker-local temp directory for `GCSTimeSpanFileTransformOperator`), enabling overwrite of arbitrary files on the SFTP server or the worker host. Affects deployments that ingest from buckets writable by less-trusted principals. Users are advised to upgrade to `apache-airflow-providers-google` 22.2.1 or later.
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GitHub
Validate destination paths derived from GCS object names by potiuk Β· Pull Request #67667 Β· apache/airflow
Two operators in the Google provider compute filesystem destination paths from GCS object names returned by list*() / list_by_timespan(), without normalizing the join result. Because GCS object nam...
π¨ CVE-2026-13705
Imager versions before 1.032 for Perl have a heap out-of-bounds read in the bundled Imager::File::SGI reader via a 16-bit RLE literal run in read_rgb_16_rle.
read_rgb_16_rle guards each literal run with if (count > data_left), but count is a pixel count while every 16-bit sample consumes two bytes. The copy loop reads inp[0] * 256 + inp[1] and advances two bytes per pixel, so a run with data_left / 2 < count <= data_left passes the guard yet consumes 2 * count bytes and reads past the end of the buffer. The 8-bit path is unaffected because there one pixel is one byte.
Reading a crafted SGI image through Imager->read triggers the over-read before the parser rejects the malformed image, which can crash the process.
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Imager versions before 1.032 for Perl have a heap out-of-bounds read in the bundled Imager::File::SGI reader via a 16-bit RLE literal run in read_rgb_16_rle.
read_rgb_16_rle guards each literal run with if (count > data_left), but count is a pixel count while every 16-bit sample consumes two bytes. The copy loop reads inp[0] * 256 + inp[1] and advances two bytes per pixel, so a run with data_left / 2 < count <= data_left passes the guard yet consumes 2 * count bytes and reads past the end of the buffer. The 8-bit path is unaffected because there one pixel is one byte.
Reading a crafted SGI image through Imager->read triggers the over-read before the parser rejects the malformed image, which can crash the process.
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π¨ CVE-2026-43825
Untrusted Java Deserialization in Apache OpenNLP SvmDoccatModel
Versions Affected:
before 3.0.0-M4 (libsvm document categorization module; introduced in
OPENNLP-1808 and only present on the 3.x line)
Description:
SvmDoccatModel.deserialize(InputStream) reads an attacker-controlled
stream with java.io.ObjectInputStream and calls readObject() without an
ObjectInputFilter installed. ObjectInputStream materialises every class
referenced in the stream before the resulting object is cast to
SvmDoccatModel, so the cast that follows readObject() executes only
after the foreign object graph has already been deserialised in full.
If a Java deserialization gadget chain is available on the consumer's
classpath, a crafted payload supplied to
deserialize() executes arbitrary code in the JVM that loads it. Apache
OpenNLP itself does not ship a known gadget chain, so the realistic
risk is to downstream applications that embed the libsvm module
alongside vulnerable transitive dependencies. The method is public and
static, so any caller can pass an untrusted stream to it directly.
The practical impact is remote code execution against processes that
load SvmDoccatModel instances from untrusted or semi-trusted origins.
Mitigation:
3.x users should upgrade to 3.0.0-M4.
Users who cannot upgrade immediately should treat all serialized
SvmDoccatModel streams as untrusted input unless their provenance is
verified, and should avoid invoking SvmDoccatModel.deserialize() on
streams supplied by end users or fetched from third-party sources
without integrity checks.
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Untrusted Java Deserialization in Apache OpenNLP SvmDoccatModel
Versions Affected:
before 3.0.0-M4 (libsvm document categorization module; introduced in
OPENNLP-1808 and only present on the 3.x line)
Description:
SvmDoccatModel.deserialize(InputStream) reads an attacker-controlled
stream with java.io.ObjectInputStream and calls readObject() without an
ObjectInputFilter installed. ObjectInputStream materialises every class
referenced in the stream before the resulting object is cast to
SvmDoccatModel, so the cast that follows readObject() executes only
after the foreign object graph has already been deserialised in full.
If a Java deserialization gadget chain is available on the consumer's
classpath, a crafted payload supplied to
deserialize() executes arbitrary code in the JVM that loads it. Apache
OpenNLP itself does not ship a known gadget chain, so the realistic
risk is to downstream applications that embed the libsvm module
alongside vulnerable transitive dependencies. The method is public and
static, so any caller can pass an untrusted stream to it directly.
The practical impact is remote code execution against processes that
load SvmDoccatModel instances from untrusted or semi-trusted origins.
Mitigation:
3.x users should upgrade to 3.0.0-M4.
Users who cannot upgrade immediately should treat all serialized
SvmDoccatModel streams as untrusted input unless their provenance is
verified, and should avoid invoking SvmDoccatModel.deserialize() on
streams supplied by end users or fetched from third-party sources
without integrity checks.
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π¨ CVE-2026-13753
A missing authorization vulnerability exists in the embedded webserver of HP Deskjet 2800 Series Printers running firmware version <=TBP1CN2612AR. An unauthenticated attacker with network access can send GET requests to multiple exposed administrative API endpoints and retrieve sensitive configuration data such as plaintext WiβFi Direct credentials, unique device identity information, and other administrative security state details. When accessed through the web interface, these setting pages explicitly require administrator credentials before sensitive information is displayed.
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A missing authorization vulnerability exists in the embedded webserver of HP Deskjet 2800 Series Printers running firmware version <=TBP1CN2612AR. An unauthenticated attacker with network access can send GET requests to multiple exposed administrative API endpoints and retrieve sensitive configuration data such as plaintext WiβFi Direct credentials, unique device identity information, and other administrative security state details. When accessed through the web interface, these setting pages explicitly require administrator credentials before sensitive information is displayed.
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kb.cert.org
CERT/CC Vulnerability Note VU#828543
HP Deskjet 2800 Printer Series Webservers contain Missing Authorization Vulnerability
π¨ CVE-2026-55379
Pillow is a Python imaging library. Prior to 12.3.0, PIL/BdfFontFile.py bdf_char() read the BBX width and height field from a BDF font file and passed attacker-controlled dimensions to Image.new() without calling Image._decompression_bomb_check(), bypassing Pillow's documented decompression bomb protection and allowing excessive memory allocation. This issue is fixed in version 12.3.0.
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Pillow is a Python imaging library. Prior to 12.3.0, PIL/BdfFontFile.py bdf_char() read the BBX width and height field from a BDF font file and passed attacker-controlled dimensions to Image.new() without calling Image._decompression_bomb_check(), bypassing Pillow's documented decompression bomb protection and allowing excessive memory allocation. This issue is fixed in version 12.3.0.
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GitHub
Pillow/docs/releasenotes/12.3.0.rst at main Β· python-pillow/Pillow
Python Imaging Library (fork). Contribute to python-pillow/Pillow development by creating an account on GitHub.
π¨ CVE-2026-55380
Pillow is a Python imaging library. Prior to 12.3.0, PIL/GdImageFile.py GdImageFile._open() read image dimensions from the GD 2.x header and stored them in self._size without calling Image._decompression_bomb_check(), allowing a crafted .gd file to trigger excessive C-heap allocation when loaded. This issue is fixed in version 12.3.0.
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Pillow is a Python imaging library. Prior to 12.3.0, PIL/GdImageFile.py GdImageFile._open() read image dimensions from the GD 2.x header and stored them in self._size without calling Image._decompression_bomb_check(), allowing a crafted .gd file to trigger excessive C-heap allocation when loaded. This issue is fixed in version 12.3.0.
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GitHub
Pillow/docs/releasenotes/12.3.0.rst at main Β· python-pillow/Pillow
Python Imaging Library (fork). Contribute to python-pillow/Pillow development by creating an account on GitHub.
π¨ CVE-2026-9181
ArcGIS Server contains a directory traversal vulnerability. An unauthenticated attacker could exploit this issue by sending crafted path parameters. Successful exploitation could allow access to sensitive files on the system. This issue impacts all versions of ArcGIS Server 12.0 and prior.
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ArcGIS Server contains a directory traversal vulnerability. An unauthenticated attacker could exploit this issue by sending crafted path parameters. Successful exploitation could allow access to sensitive files on the system. This issue impacts all versions of ArcGIS Server 12.0 and prior.
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ArcGIS Blog
May 2026 ArcGIS Security Bulletin
π¨ CVE-2026-11405
The web server binary /bin/httpd contains a hidden backdoor authentication mechanism in the login() function at 004c88b8.
- The function contains a normal authentication path using MD5/hash-based password verification (prod_encode64/PasswordToMd5/check_rand_key).
- After normal authentication fails, it calls GetValue("sys.rzadmin.password") to read a backdoor password from the device configuration.
- It performs a direct strcmp() comparison (plaintext, not hashed) between the config value and the user-supplied password.
A successful match grants role=2 (admin-level access) and creates a valid session. The rzadmin username is never checked β any username works with the backdoor
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The web server binary /bin/httpd contains a hidden backdoor authentication mechanism in the login() function at 004c88b8.
- The function contains a normal authentication path using MD5/hash-based password verification (prod_encode64/PasswordToMd5/check_rand_key).
- After normal authentication fails, it calls GetValue("sys.rzadmin.password") to read a backdoor password from the device configuration.
- It performs a direct strcmp() comparison (plaintext, not hashed) between the config value and the user-supplied password.
A successful match grants role=2 (admin-level access) and creates a valid session. The rzadmin username is never checked β any username works with the backdoor
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cwe.mitre.org
CWE -
CWE-912: Hidden Functionality (4.20)
CWE-912: Hidden Functionality (4.20)
Common Weakness Enumeration (CWE) is a list of software weaknesses.
π¨ CVE-2026-14536
Improper enforcement of a mandatory multi-factor authentication policy in Devolutions Server 2026.2.9.0 allows an attacker with valid user credentials to bypass the MFA Required policy and authenticate without completing multi-factor authentication. The problem occurs when DVLS encounters an invalid default MFA value.
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Improper enforcement of a mandatory multi-factor authentication policy in Devolutions Server 2026.2.9.0 allows an attacker with valid user credentials to bypass the MFA Required policy and authenticate without completing multi-factor authentication. The problem occurs when DVLS encounters an invalid default MFA value.
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Devolutions
advisories
Stay informed with Devolutions' latest security advisories on vulnerabilities, threats, and incident responses to enhance your cybersecurity posture.
π¨ CVE-2026-14898
The OpenAI Codex desktop app for macOS rendered remote images from Markdown in model responses. An attacker who could place an indirect prompt injection in content processed by Codex, such as a connected-tool result or another untrusted source, could induce the model to construct a remote image URL containing sensitive data. The app automatically fetched that URL when rendering the response, sending the embedded data to an attacker-controlled server without a separate user click. Successful exploitation could exfiltrate secrets and other information accessible in the Codex session, including API keys, source code, and data returned by connected tools. No direct integrity or availability impact was demonstrated, and there is no known exploitation in the wild.
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The OpenAI Codex desktop app for macOS rendered remote images from Markdown in model responses. An attacker who could place an indirect prompt injection in content processed by Codex, such as a connected-tool result or another untrusted source, could induce the model to construct a remote image URL containing sensitive data. The app automatically fetched that URL when rendering the response, sending the embedded data to an attacker-controlled server without a separate user click. Successful exploitation could exfiltrate secrets and other information accessible in the Codex session, including API keys, source code, and data returned by connected tools. No direct integrity or availability impact was demonstrated, and there is no known exploitation in the wild.
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OpenAI
Codex in ChatGPT | AI Coding Agents for Software Engineering
Codex in ChatGPT helps engineering teams build faster with AI coding agents. Complete pull requests, refactors, code reviews, automations, and more across parallel workflows.
π¨ CVE-2026-41514
OP-TEE is a Trusted Execution Environment (TEE) designed as companion to a non-secure Linux kernel running on Arm; Cortex-A cores using the TrustZone technology. Starting in version 4.5.0 and prior to version 4.11.0, the RSA-OAEP decryption implementation in the Hisilicon HPRE crypto driver uses non-constant-time `memcmp()` for label hash verification and has multiple distinguishable error paths. This creates a Manger-style padding oracle that allows an attacker to recover RSA-OAEP plaintext with approximately 1000-2000 adaptive chosen ciphertext queries. Only affects plat-d06 with `CFG_HISILICON_ACC_V3=y`, which seems to be disabled by default. Version 4.11.0 contains a patch. As a workaround, disable Hisilicon HPRE RSA driver with `CFG_HISILICON_ACC_V3=n`.
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OP-TEE is a Trusted Execution Environment (TEE) designed as companion to a non-secure Linux kernel running on Arm; Cortex-A cores using the TrustZone technology. Starting in version 4.5.0 and prior to version 4.11.0, the RSA-OAEP decryption implementation in the Hisilicon HPRE crypto driver uses non-constant-time `memcmp()` for label hash verification and has multiple distinguishable error paths. This creates a Manger-style padding oracle that allows an attacker to recover RSA-OAEP plaintext with approximately 1000-2000 adaptive chosen ciphertext queries. Only affects plat-d06 with `CFG_HISILICON_ACC_V3=y`, which seems to be disabled by default. Version 4.11.0 contains a patch. As a workaround, disable Hisilicon HPRE RSA driver with `CFG_HISILICON_ACC_V3=n`.
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GitHub
RSA-OAEP padding oracle in Hisilicon HPRE driver enables plaintext recovery
# RSA-OAEP padding oracle in Hisilicon HPRE driver enables plaintext recovery
### Summary
The RSA-OAEP decryption implementation in the Hisilicon HPRE crypto driver uses non-constant-time `memc...
### Summary
The RSA-OAEP decryption implementation in the Hisilicon HPRE crypto driver uses non-constant-time `memc...
π¨ CVE-2026-41515
OP-TEE is a Trusted Execution Environment (TEE) designed as companion to a non-secure Linux kernel running on Arm; Cortex-A cores using the TrustZone technology. Starting in version 3.9.0 and prior to version 4.11.0, the RSA-OAEP decryption implementation in the NXP CAAM crypto driver uses non-constant-time `memcmp()` for label hash verification and has multiple distinguishable error paths. This creates a Manger-style padding oracle that allows an attacker to recover RSA-OAEP plaintext with approximately 1000-2000 adaptive chosen ciphertext queries. Version 4.11.0 contains a patch. As a workaround, disable the NXP CAAM RSA driver with `CFG_CRYPTO_DRV_RSA=n`.
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OP-TEE is a Trusted Execution Environment (TEE) designed as companion to a non-secure Linux kernel running on Arm; Cortex-A cores using the TrustZone technology. Starting in version 3.9.0 and prior to version 4.11.0, the RSA-OAEP decryption implementation in the NXP CAAM crypto driver uses non-constant-time `memcmp()` for label hash verification and has multiple distinguishable error paths. This creates a Manger-style padding oracle that allows an attacker to recover RSA-OAEP plaintext with approximately 1000-2000 adaptive chosen ciphertext queries. Version 4.11.0 contains a patch. As a workaround, disable the NXP CAAM RSA driver with `CFG_CRYPTO_DRV_RSA=n`.
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GitHub
RSA-OAEP padding oracle in NXP CAAM driver enables plaintext recovery
# RSA-OAEP padding oracle in NXP CAAM driver enables plaintext recovery
### Summary
The RSA-OAEP decryption implementation in the NXP CAAM crypto driver uses non-constant-time `memcmp()` for la...
### Summary
The RSA-OAEP decryption implementation in the NXP CAAM crypto driver uses non-constant-time `memcmp()` for la...
π¨ CVE-2026-41516
OP-TEE is a Trusted Execution Environment (TEE) designed as companion to a non-secure Linux kernel running on Arm; Cortex-A cores using the TrustZone technology. Starting in version 4.5.0 and prior to version 4.11.0, the RSA PKCS#1 v1.5 decryption implementation in the Hisilicon HPRE crypto driver uses non-constant-time `memcmp()` for label hash verification and has multiple distinguishable error paths. This creates a Bleichenbacher-style padding oracle that allows an attacker to recover RSA PKCS#1 v1.5 plaintext. Version 4.11.0 contains a patch. As a workaround, disable Hisilicon HPRE RSA driver with `CFG_HISILICON_ACC_V3=n`.
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OP-TEE is a Trusted Execution Environment (TEE) designed as companion to a non-secure Linux kernel running on Arm; Cortex-A cores using the TrustZone technology. Starting in version 4.5.0 and prior to version 4.11.0, the RSA PKCS#1 v1.5 decryption implementation in the Hisilicon HPRE crypto driver uses non-constant-time `memcmp()` for label hash verification and has multiple distinguishable error paths. This creates a Bleichenbacher-style padding oracle that allows an attacker to recover RSA PKCS#1 v1.5 plaintext. Version 4.11.0 contains a patch. As a workaround, disable Hisilicon HPRE RSA driver with `CFG_HISILICON_ACC_V3=n`.
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GitHub
Hisilicon HPRE PKCS#1 v1.5 Decryption Padding Oracle
# Hisilicon HPRE PKCS#⁠1 v1.5 Decryption Padding Oracle
### Summary
The RSA PKCS#⁠1 v1.5 decryption implementation in the Hisilicon HPRE crypto driver uses non-constant-...
### Summary
The RSA PKCS#⁠1 v1.5 decryption implementation in the Hisilicon HPRE crypto driver uses non-constant-...
π¨ CVE-2026-42546
OP-TEE is a Trusted Execution Environment (TEE) designed as companion to a non-secure Linux kernel running on Arm; Cortex-A cores using the TrustZone technology. Starting in version 3.3.0 and prior to version 4.11.0, a resource leak exists in OP-TEEβs shared memory cleanup logic because the function `cleanup_shm_refs()` in `core/tee/entry_std.c` fails to apply a required bitmask (`OPTEE_MSG_ATTR_TYPE_MASK`) to parameter attributes. When processing non-contiguous memory parameters from a normal-world caller, the system fails to match the attribute type in its internal switch statement and skips the necessary mobj_put() call. This results in a persistent reference leak of `mobj_reg_shm` objects, which remain on internal lists with dangling refcounts. This affects non-FF-A configurations that support non-contiguous, non-secure shared memory. Over time, these accumulated leaks progressively consume the secure-world heap, degrading the system's ability to service trusted application operations and eventually requiring a reboot to recover. Version 4.11.0 contains a patch. No known workarounds are available.
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OP-TEE is a Trusted Execution Environment (TEE) designed as companion to a non-secure Linux kernel running on Arm; Cortex-A cores using the TrustZone technology. Starting in version 3.3.0 and prior to version 4.11.0, a resource leak exists in OP-TEEβs shared memory cleanup logic because the function `cleanup_shm_refs()` in `core/tee/entry_std.c` fails to apply a required bitmask (`OPTEE_MSG_ATTR_TYPE_MASK`) to parameter attributes. When processing non-contiguous memory parameters from a normal-world caller, the system fails to match the attribute type in its internal switch statement and skips the necessary mobj_put() call. This results in a persistent reference leak of `mobj_reg_shm` objects, which remain on internal lists with dangling refcounts. This affects non-FF-A configurations that support non-contiguous, non-secure shared memory. Over time, these accumulated leaks progressively consume the secure-world heap, degrading the system's ability to service trusted application operations and eventually requiring a reboot to recover. Version 4.11.0 contains a patch. No known workarounds are available.
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GitHub
Missing OPTEE_MSG_ATTR_TYPE_MASK in cleanup_shm_refs() leaks mobj references
### Summary
A resource leak exists in OP-TEEβs shared memory cleanup logic because the function `cleanup_shm_refs()` in `core/tee/entry_std.c` fails to apply a required bitmask (`OPTEE_MSG_ATTR_T...
A resource leak exists in OP-TEEβs shared memory cleanup logic because the function `cleanup_shm_refs()` in `core/tee/entry_std.c` fails to apply a required bitmask (`OPTEE_MSG_ATTR_T...
π¨ CVE-2026-44362
OP-TEE is a Trusted Execution Environment (TEE) designed as companion to a non-secure Linux kernel running on Arm; Cortex-A cores using the TrustZone technology. Starting in version 3.20.0 and prior to version 4.11.0, a vulnerability in OP-TEEβs subkey rollback protection allows the use of revoked or older subkey versions because the system fails to propagate versioning data during the Trusted Application (TA) loading process. In `core/crypto/signed_hdr.c`, the function `shdr_load_pub_key()` parses subkey headers but does not assign the `subkey_version` to the runtime `shdr_pub_key` structure. As a result, the `key->version` field remains at zero regardless of the version specified in the header. When `ree_fs_ta_open()` in `core/kernel/ree_fs_ta.c` calls `check_update_version()`, it passes this zeroed version to the rollback database. Because the database never receives a non-zero version to record, it never advances, effectively bypassing the rollback check and allowing TAs signed with downgraded subkey chains to load successfully. This impacts OP-TEE mainline configurations that utilize subkey-based signing chains for Trusted Application (TA) authentication. Version 4.11.0 contains a patch. No known workarounds are available.
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OP-TEE is a Trusted Execution Environment (TEE) designed as companion to a non-secure Linux kernel running on Arm; Cortex-A cores using the TrustZone technology. Starting in version 3.20.0 and prior to version 4.11.0, a vulnerability in OP-TEEβs subkey rollback protection allows the use of revoked or older subkey versions because the system fails to propagate versioning data during the Trusted Application (TA) loading process. In `core/crypto/signed_hdr.c`, the function `shdr_load_pub_key()` parses subkey headers but does not assign the `subkey_version` to the runtime `shdr_pub_key` structure. As a result, the `key->version` field remains at zero regardless of the version specified in the header. When `ree_fs_ta_open()` in `core/kernel/ree_fs_ta.c` calls `check_update_version()`, it passes this zeroed version to the rollback database. Because the database never receives a non-zero version to record, it never advances, effectively bypassing the rollback check and allowing TAs signed with downgraded subkey chains to load successfully. This impacts OP-TEE mainline configurations that utilize subkey-based signing chains for Trusted Application (TA) authentication. Version 4.11.0 contains a patch. No known workarounds are available.
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GitHub
Subkey rollback protection can be bypassed with older subkey versions
### Summary
A vulnerability in OP-TEEβs subkey rollback protection allows the use of revoked or older subkey versions because the system fails to propagate versioning data during the Trusted Appli...
A vulnerability in OP-TEEβs subkey rollback protection allows the use of revoked or older subkey versions because the system fails to propagate versioning data during the Trusted Appli...
π¨ CVE-2026-50133
Hugo is a static site generator. Prior to 0.162.0, Hugo accepts content files in several markup formats. Files mapped to the text/html media type (typically .html files under /content, or pages produced by a content adapter that sets content.mediaType = "text/html") had their body emitted verbatim into the rendered page. A site that ingests HTML content from an untrusted source could therefore be served stored cross-site scripting. This vulnerability is fixed in 0.162.0.
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Hugo is a static site generator. Prior to 0.162.0, Hugo accepts content files in several markup formats. Files mapped to the text/html media type (typically .html files under /content, or pages produced by a content adapter that sets content.mediaType = "text/html") had their body emitted verbatim into the rendered page. A site that ingests HTML content from an untrusted source could therefore be served stored cross-site scripting. This vulnerability is fixed in 0.162.0.
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GitHub
Disallow HTML content by default Β· gohugoio/hugo@e41a064
For security reasons. Enable in security config, e.g.:
```toml
[security]
allowContent = ['.*']
```
```toml
[security]
allowContent = ['.*']
```
π¨ CVE-2026-50134
Hugo is a static site generator. From 0.91.0 until 0.162.0, resources.GetRemote enforces security.http.urls on the URL it is called with, but it did not re-validate intermediate URLs on HTTP 3xx redirects. An allowed server (or an attacker controlling its DNS or response) could therefore redirect the request to a host that the policy was meant to forbid and Hugo would fetch from the redirected target. The same bypass also lifted any host-shape restriction the operator had put in place. This vulnerability is fixed in 0.162.0.
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Hugo is a static site generator. From 0.91.0 until 0.162.0, resources.GetRemote enforces security.http.urls on the URL it is called with, but it did not re-validate intermediate URLs on HTTP 3xx redirects. An allowed server (or an attacker controlling its DNS or response) could therefore redirect the request to a host that the policy was meant to forbid and Hugo would fetch from the redirected target. The same bypass also lifted any host-shape restriction the operator had put in place. This vulnerability is fixed in 0.162.0.
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GitHub
security: Validate redirects against security.http.urls Β· gohugoio/hugo@86fbb0f
A server allowed by security.http.urls could redirect resources.GetRemote
to a host that is not. Re-run the check on each hop via CheckRedirect.
Fixes #14871
to a host that is not. Re-run the check on each hop via CheckRedirect.
Fixes #14871
π¨ CVE-2026-53763
OP-TEE is a Trusted Execution Environment (TEE) designed as companion to a non-secure Linux kernel running on Arm; Cortex-A cores using the TrustZone technology. Starting in version 3.0.0 and prior to version 4.11.0, 32-bit integer overflows in OP-TEE core's AES-GCM implementation cause the authentication tag to be computed with incorrect bit-length values after processing more than 512 megabytes of payload or Additional Authenticated Data (AAD). Version 4.11.0 contains a patch. No known workarounds are available.
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OP-TEE is a Trusted Execution Environment (TEE) designed as companion to a non-secure Linux kernel running on Arm; Cortex-A cores using the TrustZone technology. Starting in version 3.0.0 and prior to version 4.11.0, 32-bit integer overflows in OP-TEE core's AES-GCM implementation cause the authentication tag to be computed with incorrect bit-length values after processing more than 512 megabytes of payload or Additional Authenticated Data (AAD). Version 4.11.0 contains a patch. No known workarounds are available.
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GitHub
AES-GCM 32-bit integer overflow in length counters breaks authentication guarantee
# AES-GCM 32-bit integer overflow in length counters breaks authentication guarantee
### Summary
32-bit integer overflows in OP-TEE core's AES-GCM implementation cause the authentication ...
### Summary
32-bit integer overflows in OP-TEE core's AES-GCM implementation cause the authentication ...
π¨ CVE-2026-55646
vLLM is an inference and serving engine for large language models. From 0.22.0 to 0.23.0, the /v1/audio/transcriptions and /v1/audio/translations routes call request.file.read() to fully materialize an uploaded audio file into memory before vLLM checks the documented VLLM_MAX_AUDIO_CLIP_FILESIZE_MB compressed upload size limit (default 25 MB) later in the speech-to-text preprocessing step, so an API caller who can reach those routes can submit an oversized multipart upload and cause vLLM to allocate memory proportional to the uploaded file size before the request is rejected as too large, creating memory pressure or terminating the process depending on deployment resource limits. This issue is fixed in version 0.24.0.
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vLLM is an inference and serving engine for large language models. From 0.22.0 to 0.23.0, the /v1/audio/transcriptions and /v1/audio/translations routes call request.file.read() to fully materialize an uploaded audio file into memory before vLLM checks the documented VLLM_MAX_AUDIO_CLIP_FILESIZE_MB compressed upload size limit (default 25 MB) later in the speech-to-text preprocessing step, so an API caller who can reach those routes can submit an oversized multipart upload and cause vLLM to allocate memory proportional to the uploaded file size before the request is rejected as too large, creating memory pressure or terminating the process depending on deployment resource limits. This issue is fixed in version 0.24.0.
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GitHub
(security) Enforce audio upload size limit before full file materiali⦠· vllm-project/vllm@b997071
β¦zation (#45510)
Signed-off-by: jperezde <jperezde@redhat.com>
Signed-off-by: jperezde <jperezde@redhat.com>