Lucene search
+L

4 matches found

Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•23 views

PT-2026-59825

Impact If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error: python np.ones0, 231, 231 An example of a proof of concept: python import numpy as np import tensorflow as tf input val ...

7.5CVSS7AI score0.0037EPSS
SaveExploits1References7
CVE
CVE
•added 2026/05/12 7:58 p.m.•97 views

CVE-2026-44223

vLLM contains a vulnerability (CVE-2026-44223) where the extract_hidden_states speculative decoding pathway can crash the EngineCore process if any request uses penalty parameters (repetition_penalty, frequency_penalty, or presence_penalty). The issue arises from an incorrect tensor shape after t...

6.5CVSS7.4AI score0.00367EPSS
SaveExploits0References2Affected Software1
osv_cve
osv_cve
•added 2025/11/21 1:22 a.m.•23 views

CVE-2025-62372 vLLM vulnerable to DoS with incorrect shape of multimodal embedding inputs

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before 0.11.1, users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct ndim but incorrect shape e.g. hidden dimension is wrong, regardless of whether...

8.3CVSS6.7AI score
SaveExploits0References6
Positive Technologies
Positive Technologies
•added 2025/11/20 12:00 a.m.•18 views

PT-2025-47649

Name of the Vulnerable Software and Affected Versions vLLM versions 0.5.5 through 0.11.0 Description vLLM is an inference and serving engine for large language models LLMs. Users can cause the vLLM engine to crash when serving multimodal models by providing multimodal embedding inputs with a...

8.3CVSS6.2AI score0.0041EPSS
SaveExploits0References19
Rows per page
Query Builder