π¨ CVE-2024-8156
A command injection vulnerability exists in the workflow-checker.yml workflow of significant-gravitas/autogpt. The untrusted user input `github.head.ref` is used insecurely, allowing an attacker to inject arbitrary commands. This vulnerability affects versions up to and including the latest version. An attacker can exploit this by creating a branch name with a malicious payload and opening a pull request, potentially leading to reverse shell access or theft of sensitive tokens and keys.
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A command injection vulnerability exists in the workflow-checker.yml workflow of significant-gravitas/autogpt. The untrusted user input `github.head.ref` is used insecurely, allowing an attacker to inject arbitrary commands. This vulnerability affects versions up to and including the latest version. An attacker can exploit this by creating a branch name with a malicious payload and opening a pull request, potentially leading to reverse shell access or theft of sensitive tokens and keys.
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GitHub
Remove debug (#7890) Β· Significant-Gravitas/AutoGPT@1df7d52
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters. - Remove debug (#7890) Β· Significant-Gravitas/AutoGPT@1df7d52
π¨ CVE-2025-47281
Kyverno is a policy engine designed for cloud native platform engineering teams. In versions 1.14.1 and below, a Denial of Service (DoS) vulnerability exists due to improper handling of JMESPath variable substitutions. Attackers with permissions to create or update Kyverno policies can craft expressions using the {{@}} variable combined with a pipe and an invalid JMESPath function (e.g., {{@ | non_existent_function }}). This leads to a nil value being substituted into the policy structure. Subsequent processing by internal functions, specifically getValueAsStringMap, which expect string values, results in a panic due to a type assertion failure (interface {} is nil, not string). This crashes Kyverno worker threads in the admission controller and causes continuous crashes of the reports controller pod. This is fixed in version 1.14.2.
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Kyverno is a policy engine designed for cloud native platform engineering teams. In versions 1.14.1 and below, a Denial of Service (DoS) vulnerability exists due to improper handling of JMESPath variable substitutions. Attackers with permissions to create or update Kyverno policies can craft expressions using the {{@}} variable combined with a pipe and an invalid JMESPath function (e.g., {{@ | non_existent_function }}). This leads to a nil value being substituted into the policy structure. Subsequent processing by internal functions, specifically getValueAsStringMap, which expect string values, results in a panic due to a type assertion failure (interface {} is nil, not string). This crashes Kyverno worker threads in the admission controller and causes continuous crashes of the reports controller pod. This is fixed in version 1.14.2.
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GitHub
Merge commit from fork (#13138) Β· kyverno/kyverno@cbd7d4c
The `getValueAsStringMap` function would previously panic when encountering nil
or non-string values in map structures, which could be triggered by malformed
JMESPath expressions using the {{@}} va...
or non-string values in map structures, which could be triggered by malformed
JMESPath expressions using the {{@}} va...
π¨ CVE-2025-53537
LibHTP is a security-aware parser for the HTTP protocol and its related bits and pieces. In versions 0.5.50 and below, there is a traffic-induced memory leak that can starve the process of memory, leading to loss of visibility. To workaround this issue, set `suricata.yaml app-layer.protocols.http.libhtp.default-config.lzma-enabled` to false. This issue is fixed in version 0.5.51.
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LibHTP is a security-aware parser for the HTTP protocol and its related bits and pieces. In versions 0.5.50 and below, there is a traffic-induced memory leak that can starve the process of memory, leading to loss of visibility. To workaround this issue, set `suricata.yaml app-layer.protocols.http.libhtp.default-config.lzma-enabled` to false. This issue is fixed in version 0.5.51.
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GitHub
decompressors: fix leak in lzma error case Β· OISF/libhtp@9037ea3
Ticket: 7766
π¨ CVE-2025-54418
CodeIgniter is a PHP full-stack web framework. A command injection vulnerability present in versions prior to 4.6.2 affects applications that use the ImageMagick handler for image processing (`imagick` as the image library) and either allow file uploads with user-controlled filenames and process uploaded images using the `resize()` method or use the `text()` method with user-controlled text content or options. An attacker can upload a file with a malicious filename containing shell metacharacters that get executed when the image is processed or provide malicious text content or options that get executed when adding text to images Users should upgrade to v4.6.2 or later to receive a patch. As a workaround, switch to the GD image handler (`gd`, the default handler), which is not affected by either vulnerability. For file upload scenarios, instead of using user-provided filenames, generate random names to eliminate the attack vector with `getRandomName()` when using the `move()` method, or use the `store()` method, which automatically generates safe filenames. For text operations, if one must use ImageMagick with user-controlled text, sanitize the input to only allow safe characters and validate/restrict text options.
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CodeIgniter is a PHP full-stack web framework. A command injection vulnerability present in versions prior to 4.6.2 affects applications that use the ImageMagick handler for image processing (`imagick` as the image library) and either allow file uploads with user-controlled filenames and process uploaded images using the `resize()` method or use the `text()` method with user-controlled text content or options. An attacker can upload a file with a malicious filename containing shell metacharacters that get executed when the image is processed or provide malicious text content or options that get executed when adding text to images Users should upgrade to v4.6.2 or later to receive a patch. As a workaround, switch to the GD image handler (`gd`, the default handler), which is not affected by either vulnerability. For file upload scenarios, instead of using user-provided filenames, generate random names to eliminate the attack vector with `getRandomName()` when using the `move()` method, or use the `store()` method, which automatically generates safe filenames. For text operations, if one must use ImageMagick with user-controlled text, sanitize the input to only allow safe characters and validate/restrict text options.
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cwe.mitre.org
CWE -
CWE-78: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') (4.20)
CWE-78: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') (4.20)
Common Weakness Enumeration (CWE) is a list of software weaknesses.
π¨ CVE-2024-11045
A Cross-Site WebSocket Hijacking (CSWSH) vulnerability in automatic1111/stable-diffusion-webui version 1.10.0 allows an attacker to clone a malicious server extension from a GitHub repository. The vulnerability arises from the lack of proper validation on WebSocket connections at ws://127.0.0.1:7860/queue/join, enabling unauthorized actions on the server. This can lead to unauthorized cloning of server extensions, execution of malicious scripts, data exfiltration, and potential denial of service (DoS).
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A Cross-Site WebSocket Hijacking (CSWSH) vulnerability in automatic1111/stable-diffusion-webui version 1.10.0 allows an attacker to clone a malicious server extension from a GitHub repository. The vulnerability arises from the lack of proper validation on WebSocket connections at ws://127.0.0.1:7860/queue/join, enabling unauthorized actions on the server. This can lead to unauthorized cloning of server extensions, execution of malicious scripts, data exfiltration, and potential denial of service (DoS).
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π¨ CVE-2024-12074
A Denial of Service (DoS) vulnerability was discovered in the file upload feature of automatic1111/stable-diffusion-webui version 1.10.0. The vulnerability is due to improper handling of form-data with a large filename in the file upload request. By sending a payload with an excessively large filename, the server becomes overwhelmed and unresponsive, leading to unavailability for legitimate users. This issue can be exploited without authentication, making it highly scalable and increasing the risk of exploitation.
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A Denial of Service (DoS) vulnerability was discovered in the file upload feature of automatic1111/stable-diffusion-webui version 1.10.0. The vulnerability is due to improper handling of form-data with a large filename in the file upload request. By sending a payload with an excessively large filename, the server becomes overwhelmed and unresponsive, leading to unavailability for legitimate users. This issue can be exploited without authentication, making it highly scalable and increasing the risk of exploitation.
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π¨ CVE-2024-8859
A path traversal vulnerability exists in mlflow/mlflow version 2.15.1. When users configure and use the dbfs service, concatenating the URL directly into the file protocol results in an arbitrary file read vulnerability. This issue occurs because only the path part of the URL is checked, while parts such as query and parameters are not handled. The vulnerability is triggered if the user has configured the dbfs service, and during usage, the service is mounted to a local directory.
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A path traversal vulnerability exists in mlflow/mlflow version 2.15.1. When users configure and use the dbfs service, concatenating the URL directly into the file protocol results in an arbitrary file read vulnerability. This issue occurs because only the path part of the URL is checked, while parts such as query and parameters are not handled. The vulnerability is triggered if the user has configured the dbfs service, and during usage, the service is mounted to a local directory.
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GitHub
Improve `_validate_non_local_source_contains_relative_paths` to rejec⦠· mlflow/mlflow@7791b8c
β¦t malicious path (#13161)
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: Harutaka Kawamura <hkawamura0130@gmail.com>
Signed-off-by: ...
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: Harutaka Kawamura <hkawamura0130@gmail.com>
Signed-off-by: ...
π¨ CVE-2025-27205
Adobe Experience Manager Screens versions FP11.3 and earlier are affected by a stored Cross-Site Scripting (XSS) vulnerability that could be abused by a low privileged attacker to inject malicious scripts into vulnerable form fields. Malicious JavaScript may be executed in a victimβs browser when they browse to the page containing the vulnerable field. Exploitation of this issue requires user interaction in that a victim must open a malicious link.
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Adobe Experience Manager Screens versions FP11.3 and earlier are affected by a stored Cross-Site Scripting (XSS) vulnerability that could be abused by a low privileged attacker to inject malicious scripts into vulnerable form fields. Malicious JavaScript may be executed in a victimβs browser when they browse to the page containing the vulnerable field. Exploitation of this issue requires user interaction in that a victim must open a malicious link.
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Adobe
Adobe Security Bulletin
Security updates available for Adobe Experience Manager Screens | APSB25-32
π¨ CVE-2024-52279
Improper Input Validation vulnerability in Apache Zeppelin. The fix for JDBC URL validation in CVE-2024-31864 did not account for URL encoded input.
This issue affects Apache Zeppelin: from 0.11.1 before 0.12.0.
Users are recommended to upgrade to version 0.12.0, which fixes the issue.
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Improper Input Validation vulnerability in Apache Zeppelin. The fix for JDBC URL validation in CVE-2024-31864 did not account for URL encoded input.
This issue affects Apache Zeppelin: from 0.11.1 before 0.12.0.
Users are recommended to upgrade to version 0.12.0, which fixes the issue.
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GitHub
[ZEPPELIN-6095] validate decoded url in jdbc interpreter by s2moon98 Β· Pull Request #4838 Β· apache/zeppelin
What is this PR for?
Add some validation check conditions to existing url validator in jdbc interpreter. So now it can check URLs with the conditions below if it has an unallowable configuration.
...
Add some validation check conditions to existing url validator in jdbc interpreter. So now it can check URLs with the conditions below if it has an unallowable configuration.
...
π₯1
π¨ CVE-2024-51775
Missing Origin Validation in WebSockets vulnerability in Apache Zeppelin.
The attacker could access the Zeppelin server from another origin without any restriction, and get internal information about paragraphs.
This issue affects Apache Zeppelin: from 0.11.1 before 0.12.0.
Users are recommended to upgrade to version 0.12.0, which fixes the issue.
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Missing Origin Validation in WebSockets vulnerability in Apache Zeppelin.
The attacker could access the Zeppelin server from another origin without any restriction, and get internal information about paragraphs.
This issue affects Apache Zeppelin: from 0.11.1 before 0.12.0.
Users are recommended to upgrade to version 0.12.0, which fixes the issue.
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GitHub
[NO-ISSUE] Implement Origin check for terminal interpreter WebSocket connections by tbonelee Β· Pull Request #4823 Β· apache/zeppelin
What is this PR for?
This PR adds an Origin check to ensure that WebSocket connections are initiated from trusted sources only.
By validating the Origin header in the initial WebSocket handshake, w...
This PR adds an Origin check to ensure that WebSocket connections are initiated from trusted sources only.
By validating the Origin header in the initial WebSocket handshake, w...
π₯1
π¨ CVE-2024-10935
automatic1111/stable-diffusion-webui version 1.10.0 contains a vulnerability where the server fails to handle excessive characters appended to the end of multipart boundaries. This flaw can be exploited by sending malformed multipart requests with arbitrary characters at the end of the boundary, leading to excessive resource consumption and a complete denial of service (DoS) for all users. The vulnerability is unauthenticated, meaning no user login or interaction is required for an attacker to exploit this issue.
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automatic1111/stable-diffusion-webui version 1.10.0 contains a vulnerability where the server fails to handle excessive characters appended to the end of multipart boundaries. This flaw can be exploited by sending malformed multipart requests with arbitrary characters at the end of the boundary, leading to excessive resource consumption and a complete denial of service (DoS) for all users. The vulnerability is unauthenticated, meaning no user login or interaction is required for an attacker to exploit this issue.
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π¨ CVE-2024-11044
An open redirect vulnerability in automatic1111/stable-diffusion-webui version 1.10.0 allows a remote unauthenticated attacker to redirect users to arbitrary websites via a specially crafted URL. This vulnerability can be exploited to conduct phishing attacks, distribute malware, and steal user credentials.
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An open redirect vulnerability in automatic1111/stable-diffusion-webui version 1.10.0 allows a remote unauthenticated attacker to redirect users to arbitrary websites via a specially crafted URL. This vulnerability can be exploited to conduct phishing attacks, distribute malware, and steal user credentials.
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π¨ CVE-2025-8365
A vulnerability was found in Portabilis i-Educar 2.10. It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the file atendidos_cad.php. The manipulation of the argument nome/nome_social/email leads to cross site scripting. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
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A vulnerability was found in Portabilis i-Educar 2.10. It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the file atendidos_cad.php. The manipulation of the argument nome/nome_social/email leads to cross site scripting. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
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π¨ CVE-2025-8366
A vulnerability was found in Portabilis i-Educar 2.9. It has been rated as problematic. Affected by this issue is some unknown functionality of the file /intranet/educar_servidor_lst.php. The manipulation of the argument nome/matricula_servidor leads to cross site scripting. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
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A vulnerability was found in Portabilis i-Educar 2.9. It has been rated as problematic. Affected by this issue is some unknown functionality of the file /intranet/educar_servidor_lst.php. The manipulation of the argument nome/matricula_servidor leads to cross site scripting. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
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GitHub
CVE/i-educar/CVE-2025-8366.md at main Β· marcelomulder/CVE
CVE's POC. Contribute to marcelomulder/CVE development by creating an account on GitHub.
π¨ CVE-2025-8367
A vulnerability classified as problematic has been found in Portabilis i-Educar 2.9. This affects an unknown part of the file /intranet/funcionario_vinculo_lst.php. The manipulation of the argument nome leads to cross site scripting. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
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A vulnerability classified as problematic has been found in Portabilis i-Educar 2.9. This affects an unknown part of the file /intranet/funcionario_vinculo_lst.php. The manipulation of the argument nome leads to cross site scripting. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
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GitHub
CVE/i-educar/CVE-2025-8367.md at main Β· marcelomulder/CVE
CVE's POC. Contribute to marcelomulder/CVE development by creating an account on GitHub.
π¨ CVE-2025-8368
A vulnerability classified as problematic was found in Portabilis i-Educar 2.9. This vulnerability affects unknown code of the file /intranet/pesquisa_pessoa_lst.php. The manipulation of the argument campo_busca/cpf leads to cross site scripting. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
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A vulnerability classified as problematic was found in Portabilis i-Educar 2.9. This vulnerability affects unknown code of the file /intranet/pesquisa_pessoa_lst.php. The manipulation of the argument campo_busca/cpf leads to cross site scripting. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
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GitHub
CVE/i-educar/CVE-2025-8368.md at main Β· marcelomulder/CVE
CVE's POC. Contribute to marcelomulder/CVE development by creating an account on GitHub.
π₯1
π¨ CVE-2023-6605
A flaw was found in FFmpeg's DASH playlist support. This vulnerability allows arbitrary HTTP GET requests to be made on behalf of the machine running FFmpeg via a crafted DASH playlist containing malicious URLs.
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A flaw was found in FFmpeg's DASH playlist support. This vulnerability allows arbitrary HTTP GET requests to be made on behalf of the machine running FFmpeg via a crafted DASH playlist containing malicious URLs.
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π¨ CVE-2025-0454
A Server-Side Request Forgery (SSRF) vulnerability was identified in the Requests utility of significant-gravitas/autogpt versions prior to v0.4.0. The vulnerability arises due to a hostname confusion between the `urlparse` function from the `urllib.parse` library and the `requests` library. A malicious user can exploit this by submitting a specially crafted URL, such as `http://localhost:\@google.com/../`, to bypass the SSRF check and perform an SSRF attack.
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A Server-Side Request Forgery (SSRF) vulnerability was identified in the Requests utility of significant-gravitas/autogpt versions prior to v0.4.0. The vulnerability arises due to a hostname confusion between the `urlparse` function from the `urllib.parse` library and the `requests` library. A malicious user can exploit this by submitting a specially crafted URL, such as `http://localhost:\@google.com/../`, to bypass the SSRF check and perform an SSRF attack.
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GitHub
Merge branch 'dev' into zamilmajdy/secrt-1010-ssrf-check-bypass-in-re⦠· Significant-Gravitas/AutoGPT@ff065cd
β¦quests-utility-in-significant
π¨ CVE-2025-1040
AutoGPT versions 0.3.4 and earlier are vulnerable to a Server-Side Template Injection (SSTI) that could lead to Remote Code Execution (RCE). The vulnerability arises from the improper handling of user-supplied format strings in the `AgentOutputBlock` implementation, where malicious input is passed to the Jinja2 templating engine without adequate security measures. Attackers can exploit this flaw to execute arbitrary commands on the host system. The issue is fixed in version 0.4.0.
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AutoGPT versions 0.3.4 and earlier are vulnerable to a Server-Side Template Injection (SSTI) that could lead to Remote Code Execution (RCE). The vulnerability arises from the improper handling of user-supplied format strings in the `AgentOutputBlock` implementation, where malicious input is passed to the Jinja2 templating engine without adequate security measures. Attackers can exploit this flaw to execute arbitrary commands on the host system. The issue is fixed in version 0.4.0.
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GitHub
fix(backend): Enable Jinja SandboxedEnvironment for TextFormatter (#8β¦ Β· Significant-Gravitas/AutoGPT@6dba31e
β¦891)
We still use plain Jinja objects for text formatting in our block codes.
### Changes ποΈ
Introduced a `TextFormatter` utility class that uses jina
SandboxedEnvironment for safer text format...
We still use plain Jinja objects for text formatting in our block codes.
### Changes ποΈ
Introduced a `TextFormatter` utility class that uses jina
SandboxedEnvironment for safer text format...
π¨ CVE-2025-1473
A Cross-Site Request Forgery (CSRF) vulnerability exists in the Signup feature of mlflow/mlflow versions 2.17.0 to 2.20.1. This vulnerability allows an attacker to create a new account, which may be used to perform unauthorized actions on behalf of the malicious user.
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A Cross-Site Request Forgery (CSRF) vulnerability exists in the Signup feature of mlflow/mlflow versions 2.17.0 to 2.20.1. This vulnerability allows an attacker to create a new account, which may be used to perform unauthorized actions on behalf of the malicious user.
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GitHub
Merge branch 'master' into daniellok-db/fix-huntr Β· mlflow/mlflow@ecfa61c
Signed-off-by: Daniel Lok <daniel.lok@databricks.com>
π¨ CVE-2025-31490
AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. Prior to 0.6.1, AutoGPT allows SSRF due to DNS Rebinding in requests wrapper. AutoGPT is built with a wrapper around Python's requests library, hardening the application against SSRF. The code for this wrapper can be found in autogpt_platform/backend/backend/util/request.py. The requested hostname of a URL which is being requested is validated, ensuring that it does not resolve to any local ipv4 or ipv6 addresses. However, this check is not sufficient, as a DNS server may initially respond with a non-blocked address, with a TTL of 0. This means that the initial resolution would appear as a non-blocked address. In this case, validate_url() will return the url as successful. After validate_url() has successfully returned the url, the url is then passed to the real request() function. When the real request() function is called with the validated url, request() will once again resolve the address of the hostname, because the record will not have been cached (due to TTL 0). This resolution may be in the "invalid range". This type of attack is called a "DNS Rebinding Attack". This vulnerability is fixed in 0.6.1.
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AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. Prior to 0.6.1, AutoGPT allows SSRF due to DNS Rebinding in requests wrapper. AutoGPT is built with a wrapper around Python's requests library, hardening the application against SSRF. The code for this wrapper can be found in autogpt_platform/backend/backend/util/request.py. The requested hostname of a URL which is being requested is validated, ensuring that it does not resolve to any local ipv4 or ipv6 addresses. However, this check is not sufficient, as a DNS server may initially respond with a non-blocked address, with a TTL of 0. This means that the initial resolution would appear as a non-blocked address. In this case, validate_url() will return the url as successful. After validate_url() has successfully returned the url, the url is then passed to the real request() function. When the real request() function is called with the validated url, request() will once again resolve the address of the hostname, because the record will not have been cached (due to TTL 0). This resolution may be in the "invalid range". This type of attack is called a "DNS Rebinding Attack". This vulnerability is fixed in 0.6.1.
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GitHub
fix(backend): Increase block request security; Prevent DNS rebinding β¦ Β· Significant-Gravitas/AutoGPT@66ebe43
β¦& open redirect attack (#9688)
The current block web requests utility has a logic to avoid the system
firing into blocklisted IPs.
However, the current logic is still prone to a few secur...
The current block web requests utility has a logic to avoid the system
firing into blocklisted IPs.
However, the current logic is still prone to a few secur...