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Positive Technologies
Positive Technologies
•added 2026/06/23 12:00 a.m.•45 views

PT-2026-51583

Name of the Vulnerable Software and Affected Versions rtk versions prior to 0.42.2 Description A flaw in the permission splitter logic fails to conservatively split or reject certain Bash shell constructs that create command-execution boundaries or nested execution. This improper input validation...

7.8CVSS6.2AI score0.00196EPSS
SaveExploits0References6
NVD
NVD
•added 2026/06/22 11:16 p.m.•46 views

CVE-2026-54235

vLLM is an inference and serving engine for large language models LLMs. Prior to 0.23.1rc0, ll temperature validation gates use comparison operators , which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagat...

6.9CVSS0.0045EPSS
SaveExploits1References3
NVD
NVD
•added 2026/06/22 11:16 p.m.•34 views

CVE-2026-41523

vLLM is an inference and serving engine for large language models LLMs. Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLL...

7.5CVSS0.00913EPSS
SaveExploits1References20
osv_pysec
osv_pysec
•added 2026/06/22 11:16 p.m.•21 views

PYSEC-2026-2300

vLLM is an inference and serving engine for large language models LLMs. Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLL...

7.5CVSS7.9AI score0.00913EPSS
SaveExploits1References8
PyPA
PyPA
•added 2026/06/22 11:16 p.m.•24 views

PYSEC-2026-2300

vLLM is an inference and serving engine for large language models LLMs. Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLL...

7.5CVSS7.9AI score0.00913EPSS
SaveExploits1References8Affected Software1
PyPA
PyPA
•added 2026/06/22 11:16 p.m.•21 views

PYSEC-2026-227

vLLM is an inference and serving engine for large language models LLMs. Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index flashinfer.ai/whl/ using --extra-index-url, but the...

8.8CVSS6.5AI score0.00563EPSS
SaveExploits1References1Affected Software1
osv_mini
osv_mini
•added 2026/06/22 10:42 p.m.•16 views

MINI-644W-F88R-42RH

Bulletin has no description...

6.5CVSS5.8AI score0.0046EPSS
SaveExploits0
osv_mini
osv_mini
•added 2026/06/22 10:42 p.m.•20 views

MINI-W538-3JQ6-628H

Bulletin has no description...

8.8CVSS6.2AI score0.00539EPSS
SaveExploits0
attackerkb
attackerkb
•added 2026/06/22 10:20 p.m.•27 views

CVE-2026-47155

vLLM is an inference and serving engine for large language models LLMs. Prior to 0.22.0, vLLM's revision pinning controls do not consistently apply to all artifacts loaded for a model. A deployment that supplies --revision or --code-revision can still load dynamic code, GGUF files, image...

6.5CVSS5.8AI score0.00249EPSS
SaveExploits0References5Affected Software1
CVE
CVE
•added 2026/06/22 10:20 p.m.•104 views

CVE-2026-47155

CVE-2026-47155 affects vLLM prior to 0.22.0. Description: revision pinning controls do not consistently apply to all artifacts loaded for a model, enabling loading of dynamic code, GGUF files, image processors, retrieval side weights, or same-repository subfolder weights/config from an unpinned/d...

6.5CVSS5.8AI score0.00249EPSS
SaveExploits0References4Affected Software1
EUVD
EUVD
•added 2026/06/22 10:20 p.m.•31 views

EUVD-2026-38407

vLLM is an inference and serving engine for large language models LLMs. Prior to 0.22.0, vLLM's revision pinning controls do not consistently apply to all artifacts loaded for a model. A deployment that supplies --revision or --code-revision can still load dynamic code, GGUF files, image...

6.5CVSS5.8AI score0.00249EPSS
SaveExploits0References4
Vulnrichment
Vulnrichment
•added 2026/06/22 10:18 p.m.•30 views

CVE-2026-41523 vLLM: Security Check Bypass via assert Statement in Activation Function Loading Allows Arbitrary Code Execution

vLLM is an inference and serving engine for large language models LLMs. Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLL...

7.5CVSS7.9AI score0.00913EPSS
SaveExploits1References3
CVE
CVE
•added 2026/06/22 10:18 p.m.•141 views

CVE-2026-41523

vLLM prior to 0.22.0 is affected by an assert-based security check in the activation function loading that can permit arbitrary code execution when a malicious HuggingFace model is loaded and vLLM runs in Python optimized mode. The attacker-controlled inputs are the activation function names from...

7.5CVSS7.9AI score0.00913EPSS
SaveExploits1References20Affected Software1
attackerkb
attackerkb
•added 2026/06/22 10:18 p.m.•21 views

CVE-2026-41523

vLLM is an inference and serving engine for large language models LLMs. Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLL...

7.5CVSS8AI score0.00913EPSS
SaveExploits1References4Affected Software1
EUVD
EUVD
•added 2026/06/22 10:18 p.m.•29 views

EUVD-2026-38406

vLLM is an inference and serving engine for large language models LLMs. Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLL...

7.5CVSS8AI score0.00913EPSS
SaveExploits1References3
osv_cve
osv_cve
•added 2026/06/22 10:18 p.m.•23 views

CVE-2026-41523 vLLM: Security Check Bypass via assert Statement in Activation Function Loading Allows Arbitrary Code Execution

vLLM is an inference and serving engine for large language models LLMs. Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLL...

7.5CVSS6.6AI score
SaveExploits0References22
CVE
CVE
•added 2026/06/22 10:10 p.m.•99 views

CVE-2026-54233

Affected software: vLLM (inference/serving engine). Vulnerability: decoding an audio file on the /v1/audio/transcriptions endpoint can cause extreme memory growth. A 25 MB OPUS upload decodes to about 14.9 GB of float32 PCM, because the audio decoder concatenates all frames in memory before retur...

6.5CVSS5.8AI score0.00422EPSS
SaveExploits0References2Affected Software1
osv_cve
osv_cve
•added 2026/06/22 9:59 p.m.•28 views

CVE-2026-54235 vLLM: temperature=NaN and temperature=Infinity bypass validation and propagate to GPU kernels

vLLM is an inference and serving engine for large language models LLMs. Prior to 0.23.1rc0, ll temperature validation gates use comparison operators , which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagat...

6.9CVSS5.9AI score
SaveExploits0References5
osv_cve
osv_cve
•added 2026/06/22 9:55 p.m.•28 views

CVE-2026-53923 vLLM GGUF Kernels: int64_t to int truncation of tensor dimensions causes GPU buffer overflow

vLLM is an inference and serving engine for large language models LLMs. From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels csrc/quantization/gguf/ggufkernel.cu causes partial tensor processing. The output tensor is allocated at full size via...

5.3CVSS5.9AI score
SaveExploits0References5
Cvelist
Cvelist
•added 2026/06/22 9:16 p.m.•48 views

CVE-2026-48509 MessagePack-CSharp: ASP.NET Core MessagePackInputFormatter defaults to TrustedData for HTTP request bodies

MessagePack for C is a MessagePack serializer for C. Prior to 2.5.301 and 3.1.7, the parameterless MessagePackInputFormatter constructor uses default serializer options, which resolve to MessagePackSerializerOptions.Standard with MessagePackSecurity.TrustedData. The formatter is designed for...

6.3CVSS0.00416EPSS
SaveExploits0References1
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