Improper .git Sanitization in gitdumper Enables RCE
BBOT's gitdumper module could be abused to execute commands through a malicious git repository.
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Vulnérabilités publiées pour Python au cours des 30 derniers jours : 352. Présentes dans le catalogue KEV : 1.
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BBOT's gitdumper module could be abused to execute commands through a malicious git repository.
BBOT's gitlab module could be abused to disclose a GitLab API key to an attacker controlled server with a malicious formatted git URL.
BBOT's git_clone module could be abused to disclose a GitHub API key to an attacker controlled server with a malicious formatted git URL.
### Impact PyTorch reported a [**critical** vulnerability](https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6) when using `torch.load`, even with option `weights_only=True`, for `torch <= 2.5.1`. In `scio <= 1.0.0`, the lower bound for `torch` is `2.3`. ### Patches The lower bound was changed to `torch >= 2.6`, starting from `scio >= 1.0.1` (currently in dev state). ### Workarounds You can manually check that you are using `torch >= 2.6`.
Synapse is an open source Matrix homeserver implementation. Lack of validation for device keys in Synapse before 1.138.3 and in Synapse 1.139.0 allow an attacker registered on the victim homeserver to degrade federation functionality, unpredictably breaking outbound federation to other homeservers. The issue is patched in Synapse 1.138.3, 1.138.4, 1.139.1, and 1.139.2. Note that even though 1.138.3 and 1.139.1 fix the vulnerability, they inadvertently introduced an unrelated regression. For this reason, the maintainers of Synapse recommend skipping these releases and upgrading straight to 1.138.4 and 1.139.2.
A Server-Side Request Forgery (SSRF) vulnerability exists in the MediaConnector class within the vLLM project's multimodal feature set. The load_from_url and load_from_url_async methods fetch and process media from user-provided URLs without adequate restrictions on the target hosts. This allows an attacker to coerce the vLLM server into making arbitrary requests to internal network resources.
LLaMA-Factory is a tuning library for large language models. Prior to version 0.9.4, a Server-Side Request Forgery (SSRF) vulnerability in the chat API allows any authenticated user to force the server to make arbitrary HTTP requests to internal and external networks. This can lead to the exposure of sensitive internal services, reconnaissance of the internal network, or interaction with third-party services. The same mechanism also allows for a Local File Inclusion (LFI) vulnerability, enabling users to read arbitrary files from the server's filesystem. The vulnerability exists in the `_process_request` function within `src/llamafactory/api/
Wasmtime is a runtime for WebAssembly. Wasmtime 37.0.0 and 37.0.1 have memory leaks in the C/C++ API when using bindings for the `anyref` or `externref` WebAssembly values. This is caused by a regression introduced during the development of 37.0.0 and all prior versions of Wasmtime are unaffected. If `anyref` or `externref` is not used in the C/C++ API then embeddings are also unaffected by the leaky behavior. The `wasmtime` Rust crate is unaffected by this leak. Development of Wasmtime 37.0.0 included a refactoring in Rust of changing the old `ManuallyRooted<T>` type to a new `OwnedRooted<T>` type. This change was integrated into Wasmtime's
The 'zipfile' module would not check the validity of the ZIP64 End of Central Directory (EOCD) Locator record offset value would not be used to locate the ZIP64 EOCD record, instead the ZIP64 EOCD record would be assumed to be the previous record in the ZIP archive. This could be abused to create ZIP archives that are handled differently by the 'zipfile' module compared to other ZIP implementations. Remediation maintains this behavior, but checks that the offset specified in the ZIP64 EOCD Locator record matches the expected value.
vLLM is an inference and serving engine for large language models (LLMs). Before version 0.11.0rc2, the API key support in vLLM performs validation using a method that was vulnerable to a timing attack. API key validation uses a string comparison that takes longer the more characters the provided API key gets correct. Data analysis across many attempts could allow an attacker to determine when it finds the next correct character in the key sequence. Deployments relying on vLLM's built-in API key validation are vulnerable to authentication bypass using this technique. Version 0.11.0rc2 fixes the issue.
The HTMLSectionSplitter class in langchain-text-splitters version 0.3.8 is vulnerable to XML External Entity (XXE) attacks due to unsafe XSLT parsing. This vulnerability arises because the class allows the use of arbitrary XSLT stylesheets, which are parsed using lxml.etree.parse() and lxml.etree.XSLT() without any hardening measures. In lxml versions up to 4.9.x, external entities are resolved by default, allowing attackers to read arbitrary local files or perform outbound HTTP(S) fetches. In lxml versions 5.0 and above, while entity expansion is disabled, the XSLT document() function can still read any URI unless XSLTAccessControl is applie
python-socketio is a Python implementation of the Socket.IO realtime client and server. A remote code execution vulnerability in python-socketio versions prior to 5.14.0 allows attackers to execute arbitrary Python code through malicious pickle deserialization in multi-server deployments on which the attacker previously gained access to the message queue that the servers use for internal communications. When Socket.IO servers are configured to use a message queue backend such as Redis for inter-server communication, messages sent between the servers are encoded using the `pickle` Python module. When a server receives one of these messages thr
Litestar is an Asynchronous Server Gateway Interface (ASGI) framework. In version 2.17.0, rate limits can be completely bypassed by manipulating the X-Forwarded-For header. This renders IP-based rate limiting ineffective against determined attackers. Litestar's RateLimitMiddleware uses `cache_key_from_request()` to generate cache keys for rate limiting. When an X-Forwarded-For header is present, the middleware trusts it unconditionally and uses its value as part of the client identifier. Since clients can set arbitrary X-Forwarded-For values, each different spoofed IP creates a separate rate limit bucket. An attacker can rotate through differ
A vulnerability in allegroai/clearml version v2.0.1 allows for path traversal due to improper handling of symbolic and hard links in the `safe_extract` function. This flaw can lead to arbitrary file writes outside the intended directory, potentially resulting in remote code execution if critical files are overwritten.
ZenML version 0.83.1 is affected by a path traversal vulnerability in the `PathMaterializer` class. The `load` function uses `is_path_within_directory` to validate files during `data.tar.gz` extraction, which fails to effectively detect symbolic and hard links. This vulnerability can lead to arbitrary file writes, potentially resulting in arbitrary command execution if critical files are overwritten.
A weakness has been identified in Open Asset Import Library Assimp 6.0.2. This affects the function Q3DImporter::InternReadFile of the file assimp/code/AssetLib/Q3D/Q3DLoader.cpp. Executing a manipulation can lead to heap-based buffer overflow. The attack needs to be launched locally. The exploit has been made available to the public and could be used for attacks.
A vulnerability was identified in Open Asset Import Library Assimp 6.0.2. Affected by this vulnerability is the function ODDLParser::getNextSeparator in the library assimp/contrib/openddlparser/include/openddlparser/OpenDDLParserUtils.h. Such manipulation leads to heap-based buffer overflow. The attack must be carried out locally. The exploit is publicly available and might be used.
A vulnerability was determined in Open Asset Import Library Assimp 6.0.2. Affected is the function Q3DImporter::InternReadFile of the file assimp/code/AssetLib/Q3D/Q3DLoader.cpp. This manipulation causes allocation of resources. The attack is restricted to local execution. The exploit has been publicly disclosed and may be utilized.
DataChain is a Python-based AI-data warehouse for transforming and analyzing unstructured data. Versions 0.34.1 and below allow for deseriaization of untrusted data because of the way the DataChain library reads serialized objects from environment variables (such as DATACHAIN__METASTORE and DATACHAIN__WAREHOUSE) in the loader.py module. An attacker with the ability to set these environment variables can trigger code execution when the application loads. This issue is fixed in version 0.34.2.
NiceGUI is a Python-based UI framework. Versions 2.24.2 and below are at risk for Cross-Site Scripting (XSS) when developers render unescaped user input into the DOM using ui.html(). NiceGUI did not enforce HTML or JavaScript sanitization, so applications that directly combine components like ui.input() with ui.html() or ui.chat_message with HTML content without escaping may allow attackers to execute arbitrary JavaScript in the user’s browser. Applications that do not pass untrusted input into ui.html() are not affected. This issue is fixed in version 3.0.0.
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