CVE Vulnerability Catalog

A type confusion vulnerability in the Dawn component of Google Chrome prior to version 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. This issue is rated as Critical in Chromium security.

A Use-After-Free vulnerability in the GPU component of Google Chrome prior to 150.0.7871.47 allows a remote attacker who compromised the renderer process to potentially escape the sandbox via a crafted HTML page. The issue has a critical severity rating from Chromium.

A use-after-free vulnerability in Extensions in Google Chrome prior to 150.0.7871.47 allows an attacker who convinces a user to install a malicious extension to execute arbitrary code via a crafted Chrome Extension.

A vulnerability in Hono before version 4.10.2 (fixed in 4.10.3) in the CORS middleware causes the Vary header from the incoming request to be copied into the response when the origin is not set to "*". An attacker can supply arbitrary Vary values that are reflected in the response, leading to cache key pollution and inconsistent CORS enforcement in environments relying on shared caches or proxies.

The vulnerability in picklescan before version 0.0.29 fails to detect the built-in profile.Profile.run function when used in pickle reduce methods, allowing attackers to execute arbitrary code. Remote attackers can craft malicious pickle files that bypass picklescan detection and achieve code execution upon deserialization.

A vulnerability in picklescan before version 0.0.29 allows bypassing detection of malicious pickle files by using code.InteractiveInterpreter.runcode in reduce methods. Attackers can craft pickle payloads that execute arbitrary code when loaded via pickle.load().

The vulnerability in picklescan before version 0.0.30 fails to detect the doctest.debug_script function when analyzing pickle files, allowing attackers to execute arbitrary code. Remote attackers can craft malicious pickle files embedding doctest.debug_script calls that bypass picklescan detection and execute arbitrary commands upon pickle.load invocation.

The vulnerability in picklescan before version 0.0.30 fails to detect cProfile.run function calls in pickle reduce methods, allowing attackers to execute arbitrary code. Remote attackers can craft malicious pickle files with cProfile.run payloads that bypass picklescan detection and achieve code execution upon deserialization.

Picklescan before version 0.0.25 fails to detect unsafe global functions in the Numpy library, allowing attackers to bypass static analysis and execute arbitrary code during deserialization. Attackers can craft malicious pickle files using numpy.testing._private.utils.runstring within the reduce method to import dangerous libraries like os and execute arbitrary OS commands when the pickle file is loaded.

A vulnerability in picklescan before version 0.0.29 fails to detect the built-in Python trace.Trace.runctx function when used in pickle file reduce methods, allowing attackers to execute arbitrary code. Remote attackers can craft malicious pickle files with trace.Trace.runctx payloads that bypass picklescan detection and execute code upon pickle.load() invocation.

Picklescan before version 0.0.28 fails to detect malicious pickle files using the torch.utils.collect_env.run function in reduce methods. Attackers can embed undetected code in pickle files that executes remote commands when loaded by victims.

The vulnerability in picklescan before version 0.0.29 fails to detect the built-in trace.Trace.run function when analyzing pickle files. This allows attackers to embed undetected malicious code that can be executed when pickle.load processes the file.

Invoice Ninja up to version 5.13.26 contains an open redirect vulnerability in the client portal login. An unauthenticated attacker can redirect an authenticated victim to an attacker-controlled external URL by injecting a malicious value into the intended query parameter.

A vulnerability in txtai up to version 9.10.0 (fixed in commit 11b32da) allows remote code execution via the /reindex API endpoint. The function body parameter is resolved by txtai.util.Resolver, which performs __import__ and getattr on the caller-supplied dotted path without any allowlist.

A broken access control vulnerability in the BPM module of yudao-cloud before version 2026.06 allows any authenticated user to access arbitrary process instance records by supplying a caller-controlled process-instance identifier to an unprotected GET endpoint lacking the @PreAuthorize annotation. Attackers can read sensitive workflow data including submitted form variables, approver identities, approval and rejection comments, and process BPMN XML without ownership or tenant party verification.

A vulnerability in Invidious through version 2.20260626.0 (fixed in commit 77ad416) allows authenticated attackers to delete videos from other users' playlists by supplying an arbitrary global video index in the remove_video action. Attackers can obtain per-video index values from the public playlist JSON API and submit them to the playlist video deletion endpoint without ownership validation, permanently removing videos from playlists they do not own.

A vulnerability in Presenton before version 0.8.8-beta allows an unauthenticated remote attacker to invoke MCP tools such as generate_presentation by accessing the /mcp path without authentication. The MCP server automatically generates a valid session token for the configured user, enabling authenticated application actions.

A vulnerability in the MessagePack library for Python allows out-of-bounds read and process crash when reusing an Unpacker object after an error. The issue is fixed in version 1.2.1.

The pypdf library before version 6.13.3 contains a DoS vulnerability. A specially crafted PDF can cause excessive memory usage because the MAX_DECLARED_STREAM_LENGTH constant is sometimes ignored when parsing a content stream without a /Length value.

An unauthenticated attacker can read worklist records from a directory outside the intended per-AE worklist storage area. In a multi-area deployment, this can cross departmental or clinic data separation.