652 matches found
GHSA-5HQ9-5R78-2GJH LlamaIndex vulnerable to data loss through hash collisions in its DocugamiReader class
A vulnerability in the DocugamiReader class of the run-llama/llamaindex repository, up to but excluding version 0.12.41, involves the use of MD5 hashing to generate IDs for document chunks. This approach leads to hash collisions when structurally distinct chunks contain identical text, resulting ...
LlamaIndex vulnerable to data loss through hash collisions in its DocugamiReader class
A vulnerability in the DocugamiReader class of the run-llama/llamaindex repository, up to but excluding version 0.12.41, involves the use of MD5 hashing to generate IDs for document chunks. This approach leads to hash collisions when structurally distinct chunks contain identical text, resulting ...
CVE-2025-6211 MD5 Hash Collision in run-llama/llama_index
A vulnerability in the DocugamiReader class of the run-llama/llamaindex repository, up to version 0.12.28, involves the use of MD5 hashing to generate IDs for document chunks. This approach leads to hash collisions when structurally distinct chunks contain identical text, resulting in one chunk...
LlamaIndex vulnerability in ArxivReader class can cause MD5 hash collisions
A vulnerability in the ArxivReader class of the run-llama/llamaindex repository allows for MD5 hash collisions when generating filenames for downloaded papers. This can lead to data loss as papers with identical titles but different contents may overwrite each other, preventing some papers from...
GHSA-P7J4-JWJF-5X9W LlamaIndex vulnerability in ArxivReader class can cause MD5 hash collisions
A vulnerability in the ArxivReader class of the run-llama/llamaindex repository allows for MD5 hash collisions when generating filenames for downloaded papers. This can lead to data loss as papers with identical titles but different contents may overwrite each other, preventing some papers from...
CVE-2025-3044
A vulnerability in the ArxivReader class of the run-llama/llamaindex repository, versions up to v0.12.22.post1, allows for MD5 hash collisions when generating filenames for downloaded papers. This can lead to data loss as papers with identical titles but different contents may overwrite each othe...
CVE-2025-3044
The CVE-2025-3044 affects the ArxivReader class in the llama_index project. Versions up to v0.12.22.post1 are vulnerable to MD5 hash collisions when generating filenames for downloaded papers, which can cause papers with identical titles but different contents to overwrite each other, leading to ...
PT-2025-28148
Name of the Vulnerable Software and Affected Versions: llama index versions up to v0.12.22.post1 Description: A vulnerability in the ArxivReader class allows for MD5 hash collisions when generating filenames for downloaded papers. This can lead to data loss as papers with identical titles but...
Security update for python39
This update for python39 fixes the following issues: python39 was updated from version 3.9.21 to version 3.9.23: Security issues fixed: CVE-2025-4516: Fixed blocking DecodeError handling vulnerability, which could lead to DoS bsc1243273 CVE-2024-12718, CVE-2025-4138, CVE-2025-4330, CVE-2025-4517:...
PYSEC-2025-43
vLLM is an inference and serving engine for large language models LLMs. In versions starting from 0.7.0 to before 0.9.0, in the file vllm/multimodal/hasher.py, the MultiModalHasher class has a security and data integrity issue in its image hashing method. Currently, it serializes PIL.Image.Image...
PYSEC-2025-43
vLLM is an inference and serving engine for large language models LLMs. In versions starting from 0.7.0 to before 0.9.0, in the file vllm/multimodal/hasher.py, the MultiModalHasher class has a security and data integrity issue in its image hashing method. Currently, it serializes PIL.Image.Image...
CVE-2025-46722
The CVE-2025-46722 entry concerns vLLM (versions 0.7.0–0.8.x) where MultiModalHasher in vllm/multimodal/hasher.py hashes PIL.Image.Image objects using only obj.tobytes(). This excludes image metadata (width, height, mode), enabling two images with identical pixel data but different shapes to yiel...
CVE-2025-46722 vLLM has a Weakness in MultiModalHasher Image Hashing Implementation
vLLM is an inference and serving engine for large language models LLMs. In versions starting from 0.7.0 to before 0.9.0, in the file vllm/multimodal/hasher.py, the MultiModalHasher class has a security and data integrity issue in its image hashing method. Currently, it serializes PIL.Image.Image...
CVE-2025-46722 vLLM has a Weakness in MultiModalHasher Image Hashing Implementation
vLLM is an inference and serving engine for large language models LLMs. In versions starting from 0.7.0 to before 0.9.0, in the file vllm/multimodal/hasher.py, the MultiModalHasher class has a security and data integrity issue in its image hashing method. Currently, it serializes PIL.Image.Image...
vLLM has a Weakness in MultiModalHasher Image Hashing Implementation
Summary In the file vllm/multimodal/hasher.py, the MultiModalHasher class has a security and data integrity issue in its image hashing method. Currently, it serializes PIL.Image.Image objects using only obj.tobytes, which returns only the raw pixel data, without including metadata such as the...
Incomplete Comparison with Missing Factors
Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Incomplete Comparison with Missing Factors due to the implementation of image hashing in hasher.py. An attacker can achieve hash collisions and...
GHSA-C65P-X677-FGJ6 vLLM has a Weakness in MultiModalHasher Image Hashing Implementation
Summary In the file vllm/multimodal/hasher.py, the MultiModalHasher class has a security and data integrity issue in its image hashing method. Currently, it serializes PIL.Image.Image objects using only obj.tobytes, which returns only the raw pixel data, without including metadata such as the...
PT-2025-23136 · Vllm · Vllm
Name of the Vulnerable Software and Affected Versions: vLLM versions 0.7.0 through 0.8.x Description: The issue concerns a security and data integrity problem in the image hashing method of the MultiModalHasher class. Specifically, the method serializes PIL.Image.Image objects using only...
CVE-2024-48924
Impact When this library is used to deserialize messagepack data from an untrusted source, there is a risk of a denial of service attack by an attacker that sends data contrived to produce hash collisions, leading to large CPU consumption disproportionate to the size of the data being deserialize...