🚨 CVE-2018-16152
In verify_emsa_pkcs1_signature() in gmp_rsa_public_key.c in the gmp plugin in strongSwan 4.x and 5.x before 5.7.0, the RSA implementation based on GMP does not reject excess data in the digestAlgorithm.parameters field during PKCS#1 v1.5 signature verification. Consequently, a remote attacker can forge signatures when small public exponents are being used, which could lead to impersonation when only an RSA signature is used for IKEv2 authentication. This is a variant of CVE-2006-4790 and CVE-2014-1568.
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In verify_emsa_pkcs1_signature() in gmp_rsa_public_key.c in the gmp plugin in strongSwan 4.x and 5.x before 5.7.0, the RSA implementation based on GMP does not reject excess data in the digestAlgorithm.parameters field during PKCS#1 v1.5 signature verification. Consequently, a remote attacker can forge signatures when small public exponents are being used, which could lead to impersonation when only an RSA signature is used for IKEv2 authentication. This is a variant of CVE-2006-4790 and CVE-2014-1568.
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🚨 CVE-2018-14461
The LDP parser in tcpdump before 4.9.3 has a buffer over-read in print-ldp.c:ldp_tlv_print().
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The LDP parser in tcpdump before 4.9.3 has a buffer over-read in print-ldp.c:ldp_tlv_print().
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🚨 CVE-2018-14462
The ICMP parser in tcpdump before 4.9.3 has a buffer over-read in print-icmp.c:icmp_print().
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The ICMP parser in tcpdump before 4.9.3 has a buffer over-read in print-icmp.c:icmp_print().
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🚨 CVE-2018-14467
The BGP parser in tcpdump before 4.9.3 has a buffer over-read in print-bgp.c:bgp_capabilities_print() (BGP_CAPCODE_MP).
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The BGP parser in tcpdump before 4.9.3 has a buffer over-read in print-bgp.c:bgp_capabilities_print() (BGP_CAPCODE_MP).
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🚨 CVE-2018-14468
The FRF.16 parser in tcpdump before 4.9.3 has a buffer over-read in print-fr.c:mfr_print().
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The FRF.16 parser in tcpdump before 4.9.3 has a buffer over-read in print-fr.c:mfr_print().
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🚨 CVE-2018-14470
The Babel parser in tcpdump before 4.9.3 has a buffer over-read in print-babel.c:babel_print_v2().
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The Babel parser in tcpdump before 4.9.3 has a buffer over-read in print-babel.c:babel_print_v2().
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🚨 CVE-2018-14879
The command-line argument parser in tcpdump before 4.9.3 has a buffer overflow in tcpdump.c:get_next_file().
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The command-line argument parser in tcpdump before 4.9.3 has a buffer overflow in tcpdump.c:get_next_file().
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🚨 CVE-2018-14881
The BGP parser in tcpdump before 4.9.3 has a buffer over-read in print-bgp.c:bgp_capabilities_print() (BGP_CAPCODE_RESTART).
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The BGP parser in tcpdump before 4.9.3 has a buffer over-read in print-bgp.c:bgp_capabilities_print() (BGP_CAPCODE_RESTART).
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🚨 CVE-2018-14882
The ICMPv6 parser in tcpdump before 4.9.3 has a buffer over-read in print-icmp6.c.
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The ICMPv6 parser in tcpdump before 4.9.3 has a buffer over-read in print-icmp6.c.
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🚨 CVE-2022-39366
DataHub is an open-source metadata platform. Prior to version 0.8.45, the `StatelessTokenService` of the DataHub metadata service (GMS) does not verify the signature of JWT tokens. This allows an attacker to connect to DataHub instances as any user if Metadata Service authentication is enabled. This vulnerability occurs because the `StatelessTokenService` of the Metadata service uses the `parse` method of `io.jsonwebtoken.JwtParser`, which does not perform a verification of the cryptographic token signature. This means that JWTs are accepted regardless of the used algorithm. This issue may lead to an authentication bypass. Version 0.8.45 contains a patch for the issue. There are no known workarounds.
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DataHub is an open-source metadata platform. Prior to version 0.8.45, the `StatelessTokenService` of the DataHub metadata service (GMS) does not verify the signature of JWT tokens. This allows an attacker to connect to DataHub instances as any user if Metadata Service authentication is enabled. This vulnerability occurs because the `StatelessTokenService` of the Metadata service uses the `parse` method of `io.jsonwebtoken.JwtParser`, which does not perform a verification of the cryptographic token signature. This means that JWTs are accepted regardless of the used algorithm. This issue may lead to an authentication bypass. Version 0.8.45 contains a patch for the issue. There are no known workarounds.
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🚨 CVE-2023-25557
DataHub is an open-source metadata platform. The DataHub frontend acts as a proxy able to forward any REST or GraphQL requests to the backend. The goal of this proxy is to perform authentication if needed and forward HTTP requests to the DataHub Metadata Store (GMS). It has been discovered that the proxy does not adequately construct the URL when forwarding data to GMS, allowing external users to reroute requests from the DataHub Frontend to any arbitrary hosts. As a result attackers may be able to reroute a request from originating from the frontend proxy to any other server and return the result. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-076.
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DataHub is an open-source metadata platform. The DataHub frontend acts as a proxy able to forward any REST or GraphQL requests to the backend. The goal of this proxy is to perform authentication if needed and forward HTTP requests to the DataHub Metadata Store (GMS). It has been discovered that the proxy does not adequately construct the URL when forwarding data to GMS, allowing external users to reroute requests from the DataHub Frontend to any arbitrary hosts. As a result attackers may be able to reroute a request from originating from the frontend proxy to any other server and return the result. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-076.
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GitHub
SSRF/XSS (`GHSL-2022-076`)
### Impact
This vulnerability can be exploited as Server-Side Request Forgery (SSRF) to induce arbitrary HTTP requests to internal-only servers, which can lead to sensitive information disclosur...
This vulnerability can be exploited as Server-Side Request Forgery (SSRF) to induce arbitrary HTTP requests to internal-only servers, which can lead to sensitive information disclosur...
🚨 CVE-2023-25559
DataHub is an open-source metadata platform. When not using authentication for the metadata service, which is the default configuration, the Metadata service (GMS) will use the X-DataHub-Actor HTTP header to infer the user the frontend is sending the request on behalf of. When the backends retrieves the header, its name is retrieved in a case-insensitive way. This case differential can be abused by an attacker to smuggle an X-DataHub-Actor header with different casing (eg: X-DATAHUB-ACTOR). This issue may lead to an authorization bypass by allowing any user to impersonate the system user account and perform any actions on its behalf. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-079.
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DataHub is an open-source metadata platform. When not using authentication for the metadata service, which is the default configuration, the Metadata service (GMS) will use the X-DataHub-Actor HTTP header to infer the user the frontend is sending the request on behalf of. When the backends retrieves the header, its name is retrieved in a case-insensitive way. This case differential can be abused by an attacker to smuggle an X-DataHub-Actor header with different casing (eg: X-DATAHUB-ACTOR). This issue may lead to an authorization bypass by allowing any user to impersonate the system user account and perform any actions on its behalf. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-079.
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GitHub
System account impersonation (`GHSL-2022-079`)
### Impact
This issue may lead to an Authorization Bypass
This issue may lead to an Authorization Bypass
🚨 CVE-2023-25560
DataHub is an open-source metadata platform. The AuthServiceClient which is responsible for creation of new accounts, verifying credentials, resetting them or requesting access tokens, crafts multiple JSON strings using format strings with user-controlled data. This means that an attacker may be able to augment these JSON strings to be sent to the backend and that can potentially be abused by including new or colliding values. This issue may lead to an authentication bypass and the creation of system accounts, which effectively can lead to full system compromise. Users are advised to upgrade. There are no known workarounds for this vulnerability. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-080.
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DataHub is an open-source metadata platform. The AuthServiceClient which is responsible for creation of new accounts, verifying credentials, resetting them or requesting access tokens, crafts multiple JSON strings using format strings with user-controlled data. This means that an attacker may be able to augment these JSON strings to be sent to the backend and that can potentially be abused by including new or colliding values. This issue may lead to an authentication bypass and the creation of system accounts, which effectively can lead to full system compromise. Users are advised to upgrade. There are no known workarounds for this vulnerability. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-080.
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GitHub
JSON Injection (`GHSL-2022-080`)
### Impact
This issue may lead to an authentication bypass and the creation of system accounts, which effectively can lead to full system compromise.
This issue may lead to an authentication bypass and the creation of system accounts, which effectively can lead to full system compromise.
🚨 CVE-2023-25561
DataHub is an open-source metadata platform. In the event a system is using Java Authentication and Authorization Service (JAAS) authentication and that system is given a configuration which contains an error, the authentication for the system will fail open and allow an attacker to login using any username and password. The reason for this is that while an error is thrown in the `authenticateJaasUser` method it is swallowed without propagating the error. As a result of this issue unauthenticated users may gain access to the system. Users are advised to upgrade. There are no known workarounds for this issue. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-081.
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DataHub is an open-source metadata platform. In the event a system is using Java Authentication and Authorization Service (JAAS) authentication and that system is given a configuration which contains an error, the authentication for the system will fail open and allow an attacker to login using any username and password. The reason for this is that while an error is thrown in the `authenticateJaasUser` method it is swallowed without propagating the error. As a result of this issue unauthenticated users may gain access to the system. Users are advised to upgrade. There are no known workarounds for this issue. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-081.
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GitHub
datahub/datahub-frontend/app/security/AuthenticationManager.java at fdf4e48495f083314f59c414bcc7c2601633a2b8 · datahub-project/datahub
The Metadata Platform for your Data and AI Stack. Contribute to datahub-project/datahub development by creating an account on GitHub.
🚨 CVE-2023-25562
DataHub is an open-source metadata platform. In versions of DataHub prior to 0.8.45 Session cookies are only cleared on new sign-in events and not on logout events. Any authentication checks using the `AuthUtils.hasValidSessionCookie()` method could be bypassed by using a cookie from a logged out session, as a result any logged out session cookie may be accepted as valid and therefore lead to an authentication bypass to the system. Users are advised to upgrade. There are no known workarounds for this issue. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-083.
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DataHub is an open-source metadata platform. In versions of DataHub prior to 0.8.45 Session cookies are only cleared on new sign-in events and not on logout events. Any authentication checks using the `AuthUtils.hasValidSessionCookie()` method could be bypassed by using a cookie from a logged out session, as a result any logged out session cookie may be accepted as valid and therefore lead to an authentication bypass to the system. Users are advised to upgrade. There are no known workarounds for this issue. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-083.
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GitHub
datahub/datahub-frontend/app/auth/AuthUtils.java at aa146db611e3a4ca3aa17bb740783f789d4444d3 · datahub-project/datahub
The Metadata Platform for your Data and AI Stack. Contribute to datahub-project/datahub development by creating an account on GitHub.
🚨 CVE-2024-1647
Pyhtml2pdf version 0.0.6 allows an external attacker to remotely obtain
arbitrary local files. This is possible because the application does not
validate the HTML content entered by the user.
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Pyhtml2pdf version 0.0.6 allows an external attacker to remotely obtain
arbitrary local files. This is possible because the application does not
validate the HTML content entered by the user.
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Fluidattacks
pyhtml2pdf 0.0.6 - Local File Read | Fluid Attacks
AppSec solution that integrates AI, automated tools, and pentesters to continuously help your development team build secure software without delays.
🚨 CVE-2024-1648
electron-pdf version 20.0.0 allows an external attacker to remotely obtain
arbitrary local files. This is possible because the application does not
validate the HTML content entered by the user.
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electron-pdf version 20.0.0 allows an external attacker to remotely obtain
arbitrary local files. This is possible because the application does not
validate the HTML content entered by the user.
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Fluidattacks
electron-pdf 20.0.0 - Local File Read | Fluid Attacks
AppSec solution that integrates AI, automated tools, and pentesters to continuously help your development team build secure software without delays.
🚨 CVE-2025-61622
Deserialization of untrusted data in python in pyfory versions 0.12.0 through 0.12.2, or the legacy pyfury versions from 0.1.0 through 0.10.3: allows arbitrary code execution. An application is vulnerable if it reads pyfory serialized data from untrusted sources. An attacker can craft a data stream that selects pickle-fallback serializer during deserialization, leading to the execution of `pickle.loads`, which is vulnerable to remote code execution.
Users are recommended to upgrade to pyfory version 0.12.3 or later, which has removed pickle fallback serializer and thus fixes this issue.
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Deserialization of untrusted data in python in pyfory versions 0.12.0 through 0.12.2, or the legacy pyfury versions from 0.1.0 through 0.10.3: allows arbitrary code execution. An application is vulnerable if it reads pyfory serialized data from untrusted sources. An attacker can craft a data stream that selects pickle-fallback serializer during deserialization, leading to the execution of `pickle.loads`, which is vulnerable to remote code execution.
Users are recommended to upgrade to pyfory version 0.12.3 or later, which has removed pickle fallback serializer and thus fixes this issue.
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🚨 CVE-2025-62228
Apache Flink CDC version 3.4.0 was vulnerable to a SQL injection via maliciously crafted identifiers eg. crafted database name or crafted table name. Even through only the logged-in database user can trigger the attack, we recommend users update Flink CDC version to 3.5.0 which address this issue.
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Apache Flink CDC version 3.4.0 was vulnerable to a SQL injection via maliciously crafted identifiers eg. crafted database name or crafted table name. Even through only the logged-in database user can trigger the attack, we recommend users update Flink CDC version to 3.5.0 which address this issue.
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🚨 CVE-2025-20378
In Splunk Enterprise versions below 10.0.1, 9.4.5, 9.3.7, 9.2.9, and Splunk Cloud Platform versions below 10.0.2503.5, 9.3.2411.111, and 9.3.2408.121, an unauthenticated attacker could craft a malicious URL using the `return_to` parameter of the Splunk Web login endpoint. When an authenticated user visits the malicious URL, it could cause an unvalidated redirect to an external malicious site. To be successful, the attacker has to trick the victim into initiating a request from their browser. The unauthenticated attacker should not be able to exploit the vulnerability at will.
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In Splunk Enterprise versions below 10.0.1, 9.4.5, 9.3.7, 9.2.9, and Splunk Cloud Platform versions below 10.0.2503.5, 9.3.2411.111, and 9.3.2408.121, an unauthenticated attacker could craft a malicious URL using the `return_to` parameter of the Splunk Web login endpoint. When an authenticated user visits the malicious URL, it could cause an unvalidated redirect to an external malicious site. To be successful, the attacker has to trick the victim into initiating a request from their browser. The unauthenticated attacker should not be able to exploit the vulnerability at will.
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Splunk Vulnerability Disclosure
Open Redirect on Web Login endpoint in Splunk Enterprise
In Splunk Enterprise versions below 10.0.1, 9.4.5, 9.3.7, 9.2.9, and Splunk Cloud Platform versions below 10.0.2503.5, 9.3.2411.111, and 9.3.2408.121, an unauthenticated attacker could craft a malicious URL using the `return_to` parameter of the Splunk Web…
🚨 CVE-2025-20379
In Splunk Enterprise versions below 10.0.1, 9.4.5, 9.3.7, and 9.2.9 and Splunk Cloud Platform versions below 9.3.2411.116, 9.3.2408.124, 10.0.2503.5 and 10.1.2507.1, a low-privileged user that does not hold the “admin“ or “power“ Splunk roles could run a saved search with a risky command using the permissions of a higher-privileged user to bypass the SPL safeguards for risky commands. They could bypass these safeguards on the “/services/streams/search“ endpoint through its “q“ parameter by circumventing endpoint restrictions using character encoding in the REST path. The vulnerability requires the attacker to phish the victim by tricking them into initiating a request within their browser. The authenticated user should not be able to exploit the vulnerability at will.
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In Splunk Enterprise versions below 10.0.1, 9.4.5, 9.3.7, and 9.2.9 and Splunk Cloud Platform versions below 9.3.2411.116, 9.3.2408.124, 10.0.2503.5 and 10.1.2507.1, a low-privileged user that does not hold the “admin“ or “power“ Splunk roles could run a saved search with a risky command using the permissions of a higher-privileged user to bypass the SPL safeguards for risky commands. They could bypass these safeguards on the “/services/streams/search“ endpoint through its “q“ parameter by circumventing endpoint restrictions using character encoding in the REST path. The vulnerability requires the attacker to phish the victim by tricking them into initiating a request within their browser. The authenticated user should not be able to exploit the vulnerability at will.
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Splunk Vulnerability Disclosure
Risky command safeguards bypass using the “/services/streams/search“ REST endpoint through “q“ parameter in Splunk Enterprise
In Splunk Enterprise versions below 10.0.1, 9.4.5, 9.3.7, and 9.2.9, and Splunk Cloud Platform versions below 9.3.2411.116, 9.3.2408.124, 10.0.2503.5 and 10.1.2507.1, a low-privileged user that does not hold the “admin“ or “power“ Splunk roles could run a…