CHIP: Chameleon Hash-Based Irreversible Passport for Robust Deep Model Ownership Verification and Active Usage Control

The pervasion of large-scale Deep Neural Networks DNNs and their enormous training costs make their intellectual property IP protection of paramount importance. Recently introduced passport-based methods attempt to steer DNN watermarking towards strengthening ownership verification against...

PT-2025-23314 · Hcl · Hcl Glovius Cloud

Name of the Vulnerable Software and Affected Versions: HCL Glovius Cloud affected versions not specified Description: The issue is related to an outdated Hash algorithm used in HCL Glovius Cloud, which could allow attackers to efficiently guess input data using brute-force or dictionary attacks,...

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

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 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...

DEBIAN-CVE-2025-37997

In the Linux kernel, the following vulnerability has been resolved: netfilter: ipset: fix region locking in hash types Region locking introduced in v5.6-rc4 contained three macros to handle the region locks: ahashbucketstart, ahashbucketend which gave back the start and end hash bucket values...

CVE-2025-37997

In the Linux kernel, the following vulnerability has been resolved: netfilter: ipset: fix region locking in hash types Region locking introduced in v5.6-rc4 contained three macros to handle the region locks: ahashbucketstart, ahashbucketend which gave back the start and end hash bucket values...

UBUNTU-CVE-2025-37997

In the Linux kernel, the following vulnerability has been resolved: netfilter: ipset: fix region locking in hash types Region locking introduced in v5.6-rc4 contained three macros to handle the region locks: ahashbucketstart, ahashbucketend which gave back the start and end hash bucket values...

CVE-2025-37997 netfilter: ipset: fix region locking in hash types

In the Linux kernel, the following vulnerability has been resolved: netfilter: ipset: fix region locking in hash types Region locking introduced in v5.6-rc4 contained three macros to handle the region locks: ahashbucketstart, ahashbucketend which gave back the start and end hash bucket values...

CVE-2025-37997

CVE-2025-37997 affects the Linux kernel netfilter ipset region locking for hash types. The root cause is an incorrect ahash_region() mapping, which can cause a race between the garbage collector and adding new elements to sets with timeouts. The connected advisories confirm fixes to region lockin...

CVE-2025-37997 netfilter: ipset: fix region locking in hash types

In the Linux kernel, the following vulnerability has been resolved: netfilter: ipset: fix region locking in hash types Region locking introduced in v5.6-rc4 contained three macros to handle the region locks: ahashbucketstart, ahashbucketend which gave back the start and end hash bucket values...

CVE-2025-41652

The devices are vulnerable to an authentication bypass due to flaws in the authorization mechanism. An unauthenticated remote attacker could exploit this weakness by performing brute-force attacks to guess valid credentials or by using MD5 collision techniques to forge authentication hashes,...

libsoup: Double free on soup_message_headers_get_content_disposition() through "soup-message-headers.c" via "params" GHashTable value

A use-after-free type vulnerability was found in libsoup, in the soupmessageheadersgetcontentdisposition function. This flaw allows a malicious HTTP client to cause memory corruption in the libsoup server...

Windows File Explorer Windows 11 (23H2) - NTLM Hash Disclosure

!/usr/bin/env python3 Exploit Title: Windows File Explorer Windows 11 23H2 - NTLM Hash Disclosure Exploit Author: Mohammed Idrees Banyamer Twitter/GitHub:https://github.com/mbanyamer Date: 2025-05-27 CVE: CVE-2025-24071 Vendor: Microsoft Affected Versions: Windows 10/11 All supporting .library-ms...

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...