AI / ML
Monthly
A vulnerability in langchain-core versions >=0.1.17,<0.1.53, >=0.2.0,<0.2.43, and >=0.3.0,<0.3.15 allows unauthorized users to read arbitrary files from the host file system. Rated medium severity (CVSS 5.3), this vulnerability is remotely exploitable, no authentication required, low attack complexity. No vendor patch available.
A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. [CVSS 2.5 LOW]
A vulnerability was found in PyTorch 2.6.0+cu124. It has been declared as critical. [CVSS 5.0 MEDIUM]
PickleScan before 0.0.23 can be bypassed by flipping specific ZIP file header flag bits, allowing malicious pickle files to evade detection inside PyTorch model archives. An attacker can embed arbitrary code execution payloads that PickleScan misses but PyTorch's torch.load() still processes. A proof-of-concept exists and a patch is available in version 0.0.23.
picklescan before 0.0.23 is vulnerable to a ZIP archive manipulation attack that causes it to crash when attempting to extract and scan PyTorch model archives. By modifying the filename in the ZIP header while keeping the original filename in the directory listing, an attacker can make PickleScan raise a BadZipFile error. However, PyTorch's more forgiving ZIP implementation still allows the mod...
LangChain4j-AIDeepin is a Retrieval enhancement generation (RAG) project. Rated medium severity (CVSS 6.9), this vulnerability is remotely exploitable, no authentication required, low attack complexity. No vendor patch available.
A vulnerability in langchain-core versions >=0.1.17,<0.1.53, >=0.2.0,<0.2.43, and >=0.3.0,<0.3.15 allows unauthorized users to read arbitrary files from the host file system. Rated medium severity (CVSS 5.3), this vulnerability is remotely exploitable, no authentication required, low attack complexity. No vendor patch available.
A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. [CVSS 2.5 LOW]
A vulnerability was found in PyTorch 2.6.0+cu124. It has been declared as critical. [CVSS 5.0 MEDIUM]
PickleScan before 0.0.23 can be bypassed by flipping specific ZIP file header flag bits, allowing malicious pickle files to evade detection inside PyTorch model archives. An attacker can embed arbitrary code execution payloads that PickleScan misses but PyTorch's torch.load() still processes. A proof-of-concept exists and a patch is available in version 0.0.23.
picklescan before 0.0.23 is vulnerable to a ZIP archive manipulation attack that causes it to crash when attempting to extract and scan PyTorch model archives. By modifying the filename in the ZIP header while keeping the original filename in the directory listing, an attacker can make PickleScan raise a BadZipFile error. However, PyTorch's more forgiving ZIP implementation still allows the mod...
LangChain4j-AIDeepin is a Retrieval enhancement generation (RAG) project. Rated medium severity (CVSS 6.9), this vulnerability is remotely exploitable, no authentication required, low attack complexity. No vendor patch available.