Your Agent Is More Brittle Than You Think: Uncovering Indirect Injection Vulnerabilities in Agentic LLMs

The rapid deployment of open-source frameworks has significantly advanced the development of modern multi-agent systems. However, expanded action spaces, including uncontrolled privilege exposure and hidden inter-system interactions, pose severe security challenges. Specifically, Indirect Prompt...

CVE-2025-68152

Juju is an open source application orchestration engine that enables any application operation on any infrastructure at any scale through special operators called ‘charms’. From versions 2.9 to before 2.9.56 and 3.6 to before 3.6.19, it is possible that a compromised workload machine under a Juju...

CVE-2025-68152 Juju: Read All Controller Logs From Compromised Workload

Juju is an open source application orchestration engine that enables any application operation on any infrastructure at any scale through special operators called ‘charms’. From versions 2.9 to before 2.9.56 and 3.6 to before 3.6.19, it is possible that a compromised workload machine under a Juju...

CVE-2026-34760 vLLM: Downmix Implementation Differences as Attack Vectors Against Audio AI Models

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before version 0.18.0, Librosa defaults to using numpy.mean for mono downmixing tomono, while the international standard ITU-R BS.775-4 specifies a weighted downmixing algorithm. This discrepancy results...

Automated Malware Family Classification Using Weighted Hierarchical Ensembles of Large Language Models

Malware family classification remains a challenging task in automated malware analysis, particularly in real-world settings characterized by obfuscation, packing, and rapidly evolving threats. Existing machine learning and deep learning approaches typically depend on labeled datasets, handcrafted...

PT-2026-29877

Name of the Vulnerable Software and Affected Versions vLLM versions 0.5.5 through 0.17.999 Description vLLM, an inference and serving engine for large language models LLMs, exhibits an inconsistency in audio processing. Versions 0.5.5 through 0.17.999 utilize numpy.mean for mono downmixing via...

Combating Data Laundering in LLM Training

Data rights owners can detect unauthorized data use in large language model LLM training by querying with proprietary samples. Often, superior performance e.g., higher confidence or lower loss on a sample relative to the untrained data implies it was part of the training corpus, as LLMs tend to...

Insufficient Session Expiration

Overview Affected versions of this package are vulnerable to Insufficient Session Expiration due to the failure to revoke existing authenticated sessions after a password reset or password change process. An attacker can maintain unauthorized access to an account by reusing a previously obtained...

CVE-2026-5212

A vulnerability has been found in D-Link DNS-120, DNR-202L, DNS-315L, DNS-320, DNS-320L, DNS-320LW, DNS-321, DNR-322L, DNS-323, DNS-325, DNS-326, DNS-327L, DNR-326, DNS-340L, DNS-343, DNS-345, DNS-726-4, DNS-1100-4, DNS-1200-05 and DNS-1550-04 up to 20260205. This issue affects the function...

CVE-2026-5312

A weakness has been identified in D-Link DNS-120, DNR-202L, DNS-315L, DNS-320, DNS-320L, DNS-320LW, DNS-321, DNR-322L, DNS-323, DNS-325, DNS-326, DNS-327L, DNR-326, DNS-340L, DNS-343, DNS-345, DNS-726-4, DNS-1100-4, DNS-1200-05 and DNS-1550-04 up to 20260205. Affected by this vulnerability is the...

acetone-nnet (>=0.1.0 <=0.4.0.dev1), acuity (=6.18.0) +370 more potentially affected by CVE-2026-34446 via onnx (>=0.2.0 <=1.20.1)

onnx PYPI version =0.2.0, =0.1.0, =0.1.0, =0.0.0, =0.0.157, =0.1.0, =0.1.8, =1.7.0, =1.3.0, =0.10.0, =0.3.1, =1.0.2 and more Source cves: CVE-2026-34446 Source advisory: OSV:GHSA-CMW6-HCPP-C6JP...

CVE-2026-5312

A weakness has been identified in D-Link DNS-120, DNR-202L, DNS-315L, DNS-320, DNS-320L, DNS-320LW, DNS-321, DNR-322L, DNS-323, DNS-325, DNS-326, DNS-327L, DNR-326, DNS-340L, DNS-343, DNS-345, DNS-726-4, DNS-1100-4, DNS-1200-05 and DNS-1550-04 up to 20260205. Affected by this vulnerability is the...

UBUNTU-CVE-2026-34445

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr function to load metadata like file paths or data lengths directly from an ONNX model file. It didn’t check if the...

CVE-2026-34445 ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr function to load metadata like file paths or data lengths directly from an ONNX model file. It didn’t check if the...

CVE-2026-34445 ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr function to load metadata like file paths or data lengths directly from an ONNX model file. It didn’t check if the...

CVE-2026-34445

CVE-2026-34445 affects ONNX prior to version 1.21.0, where ExternalDataInfo used Python setattr() to load metadata directly from model files without validating keys, enabling a malicious model to overwrite internal object properties. Impact is mainly availability (HIGH) with confidentiality and i...

When Safe Models Merge into Danger: Exploiting Latent Vulnerabilities in LLM Fusion

Model merging has emerged as a powerful technique for combining specialized capabilities from multiple fine-tuned LLMs without additional training costs. However, the security implications of this widely-adopted practice remain critically underexplored. In this work, we reveal that model merging...

Assertain: Automated Security Assertion Generation Using Large Language Models

The increasing complexity of modern system-on-chip designs amplifies hardware security risks and makes manual security property specification a major bottleneck in formal property verification. This paper presents Assertain, an automated framework that integrates RTL design analysis, Common...

D-Link多款产品 访问控制错误漏洞

D-Link DNS-120, etc., are products of D-Link Corporation, a Chinese company. The D-Link DNS-120 is a network storage adapter. The D-Link DNR-202L is a network video camera. The D-Link DNS-315L is a network attached storage device. Several D-Link products have a vulnerability related to access...

nautobot-bgp-models (>=3.0.0a1 <=3.0.0a2), nautobot-capacity-metrics (=4.0.0a1) +12 more potentially affected by CVE-2026-34203 via nautobot (=3.0.0rc2)

nautobot PYPI version =3.0.0rc2 is affected by a known vulnerability. The following packages have a transitive dependency on nautobot and may be impacted: - nautobot-bgp-models =3.0.0a1, =3.0.0rc1, =4.0.0a1, =3.0.0a1, =4.0.0a1, =4.0.0a2 - nautobot-ssot =4.0.0a1 - nautobot-welcome-wizard =3.0.0a1...