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SUSE CVE
SUSE CVE
•added 2026/09/18 12:21 a.m.•12 views

SUSE CVE-2026-90110

In the Linux kernel, the following vulnerability has been resolved: inetpeer: randomize RB-tree node comparison using SipHash The inetpeer rate limiting system stores peer entries in a Red-Black tree keyed deterministically on the remote IP address. Because tree lookups walk the RB-tree using...

3.7CVSS6AI score0.00612EPSS
SaveExploits0References3
NVD
NVD
•added 2026/09/17 5:17 p.m.•17 views

CVE-2026-90110

In the Linux kernel, the following vulnerability has been resolved: inetpeer: randomize RB-tree node comparison using SipHash The inetpeer rate limiting system stores peer entries in a Red-Black tree keyed deterministically on the remote IP address. Because tree lookups walk the RB-tree using...

9.4CVSS0.00612EPSS
SaveExploits0References6
RedHat Linux
RedHat Linux
•added 2026/09/17 3:49 p.m.•15 views

Important: Red Hat Security Advisory: Red Hat AI Inference Server 3.3.7 (CUDA)

Red Hat AI Inference Server 3.3.7 CUDA is now available. Red Hat® AI Inference Server...

9.1CVSS6.6AI score0.0103EPSS
SaveExploits5References21
RedHat Linux
RedHat Linux
•added 2026/09/17 3:47 p.m.•14 views

Important: Red Hat Security Advisory: Red Hat AI Inference Server 3.3.7 (ROCm)

Red Hat AI Inference Server 3.3.7 ROCm is now available. Red Hat® AI Inference Server...

9.1CVSS6.6AI score0.0103EPSS
SaveExploits2References16
RedHat Linux
RedHat Linux
•added 2026/09/17 3:47 p.m.•15 views

Important: Red Hat Security Advisory: Red Hat AI Inference Server 3.3.7 (Spyre)

Red Hat AI Inference Server 3.3.7 Spyre is now available. Red Hat® AI Inference Server...

8.8CVSS6.6AI score0.0103EPSS
SaveExploits1References14
RedHat Linux
RedHat Linux
•added 2026/09/17 3:46 p.m.•15 views

Important: Red Hat Security Advisory: Red Hat AI Inference Server Model Optimization Tools 3.3.7 (CUDA)

Red Hat AI Inference Server Model Optimization Tools 3.3.7 CUDA is now available. Red Hat® AI Inference Server Model Optimization Tools...

8.8CVSS6.6AI score0.0103EPSS
SaveExploits1References14
NVD
NVD
•added 2026/09/17 2:18 p.m.•19 views

CVE-2026-92971

InternLM LMDeploy through 0.17.0 contains a reachable assertion vulnerability in the DistServe decode migration loop that allows unauthenticated attackers to terminate the inference engine. Attackers can submit a migrationrequest with an empty remoteblockids list to trigger an AssertionError that...

8.7CVSS0.00704EPSS
SaveExploits0References6
Cvelist
Cvelist
•added 2026/09/17 1:43 p.m.•43 views

CVE-2026-92971 InternLM LMDeploy through 0.17.0 Assertion Denial of Service

InternLM LMDeploy through 0.17.0 contains a reachable assertion vulnerability in the DistServe decode migration loop that allows unauthenticated attackers to terminate the inference engine. Attackers can submit a migrationrequest with an empty remoteblockids list to trigger an AssertionError that...

8.7CVSS0.00704EPSS
SaveExploits0References6
Positive Technologies
Positive Technologies
•added 2026/09/17 12:00 a.m.•8 views

PT-2026-94458

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description The inetpeer rate limiting system uses a Red-Black tree to store peer entries keyed deterministically by remote IP address. Since lookups use standard lexicographical comparisons via the...

9.4CVSS6AI score0.00612EPSS
SaveExploits0
Packet Storm News
Packet Storm News
•added 2026/09/17 12:00 a.m.•10 views

Inference-Engine Fingerprinting Attacks Are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and Escape

Frontier AI models are rapidly gaining the ability to exploit vulnerabilities in complex pieces of software. The risk is not theoretical, as evidenced by recent sandbox escapes performed by frontier models at OpenAI and Anthropic. Discussions of how to sandbox inference stack components often foc...

5.9AI score
SaveExploits0
Packet Storm News
Packet Storm News
•added 2026/09/14 12:00 a.m.•15 views

SpliTEE: Improving LLM Inference on Trusted Hardware with Differentially Private GPU Outsourcing

User prompts provided to large language models LLMs may contain sensitive or private information that can be misused by remotely deployed models, such as through inadvertent memorization during retraining. One way to protect user prompts is to execute the LLM inside a trusted execution environmen...

6.1AI score
SaveExploits0
PyPA
PyPA
•added 2026/09/10 9:45 a.m.•18 views

vLLM: Cross-User Data Leak Vulnerability

SummaryAn integer overflow in the actandmulkernel kernel can cause the output of one user request to be incorporated into the response of another request within the same inference batch. Under certain conditions, the last request in a batch can receive a partial or complete copy of the first user...

5.3CVSS5.7AI score0.00414EPSS
SaveExploits1References9Affected Software1
osv_pysec
osv_pysec
•added 2026/09/10 9:45 a.m.•21 views

PYSEC-2026-3935 vLLM: Cross-User Data Leak Vulnerability

Summary An integer overflow in the actandmulkernel kernel can cause the output of one user request to be incorporated into the response of another request within the same inference batch. Under certain conditions, the last request in a batch can receive a partial or complete copy of the first...

5.3CVSS5.7AI score0.00414EPSS
SaveExploits1References9
vulnersOsv
vulnersOsv
•added 2026/09/10 9:45 a.m.•2 views

evoke-vllm (>=0.1.0, <=0.1.1), lazyllm-verl (0.3.2.dev1) +3 more potentially affected by CVE-2026-73557 via vllm (>=0.21.0, <=0.25.1)

vllm PYPI version =0.21.0, =0.1.0, =2.8.0, =2.1.2, =0.1.10, =0.2.1 Source cves: CVE-2026-73557 Source advisory: OSV:PYSEC-2026-3938...

6.3CVSS5.8AI score0.00247EPSS
SaveExploits0
vulnersOsv
vulnersOsv
•added 2026/09/10 9:44 a.m.•1 views

mlopspython-inference (>=67580760626172675.0.0, <=757069802391466481559610331145) potentially affected by CVE-2026-12570 via keras (2.12.0rc0)

keras PYPI version 2.12.0rc0 is affected by a known vulnerability. The following packages have a transitive dependency on keras and may be impacted: - mlopspython-inference =67580760626172675.0.0, =757069802391466481559610331145 Source cves: CVE-2026-12570 Source advisory: OSV:PYSEC-2026-3856...

5.5CVSS5.9AI score0.00128EPSS
SaveExploits0
vulnersOsv
vulnersOsv
•added 2026/09/10 9:44 a.m.•2 views

pytorch-clip-interrogator (>=2023.2.19.0, <=2023.2.19.1), stochasticx (>=0.0.14, <=0.0.19) +2 more potentially affected by CVE-2026-69112 via accelerate (0.14.0)

accelerate PYPI version 0.14.0 is affected by a known vulnerability. The following packages have a transitive dependency on accelerate and may be impacted: - pytorch-clip-interrogator =2023.2.19.0, =0.0.14, =0.1.0, =0.0.7, =0.0.9 Source cves: CVE-2026-69112 Source advisory: OSV:PYSEC-2026-3804...

7.1CVSS7.3AI score0.00187EPSS
SaveExploits0
EUVD
EUVD
•added 2026/09/08 8:24 p.m.•22 views

EUVD-2026-58066

vLLM: Cross-User Data Leak Vulnerability...

5.3CVSS5.8AI score0.00414EPSS
SaveExploits1References6
osv_ghsa
osv_ghsa
•added 2026/09/08 8:24 p.m.•23 views

GHSA-7M6H-X95X-82Q5 vLLM: Cross-User Data Leak Vulnerability

Summary An integer overflow in the actandmulkernel kernel can cause the output of one user request to be incorporated into the response of another request within the same inference batch. Under certain conditions, the last request in a batch can receive a partial or complete copy of the first...

5.3CVSS5.7AI score0.00414EPSS
SaveExploits1References7
Github Security Blog
Github Security Blog
•added 2026/09/08 8:24 p.m.•22 views

vLLM: Cross-User Data Leak Vulnerability

Summary An integer overflow in the actandmulkernel kernel can cause the output of one user request to be incorporated into the response of another request within the same inference batch. Under certain conditions, the last request in a batch can receive a partial or complete copy of the first...

5.3CVSS5.7AI score0.00414EPSS
SaveExploits1References7Affected Software1
NVD
NVD
•added 2026/09/08 5:17 p.m.•15 views

CVE-2026-47625

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker could abuse missing authorization. A successful exploit of this vulnerability might lead to information disclosure, data tampering, and denial of service...

7.5CVSS0.00563EPSS
SaveExploits0References3
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