CVE-2026-4209

A vulnerability was 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 is the function...

CVE-2026-4204

A flaw 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. The affected element is the function...

Shape and Substance: Dual-Layer Side-Channel Attacks on Local Vision-Language Models

On-device Vision-Language Models VLMs promise data privacy via local execution. However, we show that the architectural shift toward Dynamic High-Resolution preprocessing e.g., AnyRes introduces an inherent algorithmic side-channel. Unlike static models, dynamic preprocessing decomposes images in...

PT-2026-28515

Name of the Vulnerable Software and Affected Versions OpenFGA versions prior to 1.13.1 Description OpenFGA is a high-performance and flexible authorization/permission engine. Under specific conditions, models using conditions with caching enabled can result in two different check requests produci...

EUVD-2026-15484

GitLab has remediated an issue in GitLab EE affecting all versions from 18.5 before 18.8.7, 18.9 before 18.9.3, and 18.10 before 18.10.1 that could have allowed an unauthenticated user to access API tokens of self-hosted AI models due to improper access control...

CVE-2026-1724

GitLab has remediated an issue in GitLab EE affecting all versions from 18.5 before 18.8.7, 18.9 before 18.9.3, and 18.10 before 18.10.1 that could have allowed an unauthenticated user to access API tokens of self-hosted AI models due to improper access control...

CVE-2026-1724

Summary: CVE-2026-1724 concerns GitLab Enterprise Edition where an improper access control vulnerability could allow an unauthenticated user to access API tokens for self-hosted AI models. The issue affects GitLab versions 18.5 up to 18.8.7, 18.9 up to 18.9.3, and 18.10 up to 18.10.1. Root cause ...

CVE-2026-1724 Missing Authentication for Critical Function in GitLab

GitLab has remediated an issue in GitLab EE affecting all versions from 18.5 before 18.8.7, 18.9 before 18.9.3, and 18.10 before 18.10.1 that could have allowed an unauthenticated user to access API tokens of self-hosted AI models due to improper access control...

CVE-2026-1724 Missing Authentication for Critical Function in GitLab

GitLab has remediated an issue in GitLab EE affecting all versions from 18.5 before 18.8.7, 18.9 before 18.9.3, and 18.10 before 18.10.1 that could have allowed an unauthenticated user to access API tokens of self-hosted AI models due to improper access control...

CVE-2026-1724

Removed by vendor...

SUSE CVE-2026-30859

WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.2.12, a broken access control vulnerability in the database query tool allows any authenticated tenant to read sensitive data belonging to other tenants, including API keys, mod...

GitLab 访问控制错误漏洞

GitLab is an end-to-end software development platform provided by the American company GitLab. It includes built-in features such as version control, issue tracking, code review, and CI/CD continuous integration and delivery. Vulnerabilities existed in versions prior to GitLab EE 18.8.7, 18.9.3,...

PT-2026-27809

Name of the Vulnerable Software and Affected Versions GitLab EE versions 18.5 through 18.8.6 GitLab EE versions 18.9 through 18.9.2 GitLab EE versions 18.10 through 18.10.0 Description An improper access control issue existed in GitLab EE that allowed an unauthenticated user to access API tokens ...

GitLab 18.5 < 18.8.7 / 18.9 < 18.9.3 / 18.10 < 18.10.1 (CVE-2026-1724)

The version of GitLab installed on the remote host is affected by a vulnerability, as follows: - GitLab has remediated an issue in GitLab EE affecting all versions from 18.5 before 18.8.7, 18.9 before 18.9.3, and 18.10 before 18.10.1 that could have allowed an unauthenticated user to access API...

Deserialization of Untrusted Data

Overview nemo-toolkit is a NeMo - a toolkit for Conversational AI Affected versions of this package are vulnerable to Deserialization of Untrusted Data through the torch.load checkpoint and model import paths in the nemo collections and checkpoint utilities. An attacker can execute arbitrary code...

Understanding Wiz’s Approach to Securing the AI Supply Chain

As organizations race to deploy AI, securing the rapidly expanding ecosystem of models, data, and dependencies has become a critical priority, much of which can be addressed by Wiz’s CNAPP solution...

Leveraging Large Language Models for Trustworthiness Assessment of Web Applications

The widespread adoption of web applications has made their security a critical concern and has increased the need for systematic ways to assess whether they can be considered trustworthy. However, "trust" assessment remains an open problem as existing techniques primarily focus on detecting known...

Towards Leveraging LLMs to Generate Abstract Penetration Test Cases from Software Architecture

Software architecture models capture early design decisions that strongly influence system quality attributes, including security. However, architecture-level security assessment and feedback are often absent in practice, allowing security weaknesses to propagate into later phases of the software...

Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs

Large Language ModelsLLMs are widely deployed, yet are vulnerable to jailbreak prompts that elicit policy-violating outputs. Although prior studies have uncovered these risks, they typically treat all tokens as equally important during prompt mutation, overlooking the varying contributions of...

TreeTeaming: Autonomous Red-Teaming of Vision-Language Models Via Hierarchical Strategy Exploration

The rapid advancement of Vision-Language Models VLMs has brought their safety vulnerabilities into sharp focus. However, existing red teaming methods are fundamentally constrained by an inherent linear exploration paradigm, confining them to optimizing within a predefined strategy set and...