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...

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...

CVE-2025-3044: Expected Behavior Violation

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...

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...

CVE-2025-46722

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...

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...

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...

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...

CVE-2020-36563

XML Digital Signatures generated and validated using this package use SHA-1, which may allow an attacker to craft inputs which cause hash collisions depending on their control over the input...

CVE-2012-1035

AdaCore Ada Web Services AWS before 2.10.2 computes hash values for form parameters without restricting the ability to trigger hash collisions predictably, which allows remote attackers to cause a denial of service CPU consumption by sending many crafted parameters...

kernel: sched: sch_cake: fix bulk flow accounting logic for host fairness

A flaw was found in the schcake component of the Linux kernel. A local attacker could exploit a vulnerability in the bulk flow accounting logic, specifically during hash collision handling when host fairness is disabled. This can lead to an array out-of-bounds write due to a spurious decrement an...

MD5 Hash Collisions

sagemaker is vulnerable to MD5 Hash Collisions. The vulnerability is due to weak hashing in workflow identification due to the reuse of results from different configurations that produce the same MD5 hash, potentially leading to unintended workflow replacements and integrity issues...

CVE-2025-0508

A vulnerability in the SageMaker Workflow component of aws/sagemaker-python-sdk allows for the possibility of MD5 hash collisions in all versions. This can lead to workflows being inadvertently replaced due to the reuse of results from different configurations that produce the same MD5 hash. This...