RHEL 9 : opentelemetry-collector (RHSA-2026:0513)

The remote Redhat Enterprise Linux 9 host has a package installed that is affected by a vulnerability as referenced in the RHSA-2026:0513 advisory. Collector with the supported components for a Red Hat build of OpenTelemetry Security Fixes: github.com/expr-lang/expr: Expr: Denial of Service via...

Exploit for CVE-2024-28397

js2py Sandbox Escape CVE-2024-28397 Exploit para ejecución...

CVE-2023-31842

Sourcecodester Faculty Evaluation System v1.0 is vulnerable to SQL Injection via /eval/index.php?page=editfaculty=...

CVE-2023-31843

Sourcecodester Faculty Evaluation System v1.0 is vulnerable to SQL Injection via /eval/admin/viewfaculty.php?id=...

CVE-2023-31845

Sourcecodester Faculty Evaluation System v1.0 is vulnerable to SQL Injection via /eval/admin/manageclass.php?id=...

CVE-2023-40015

Vyper is a Pythonic Smart Contract Language. For the following probably non-exhaustive list of expressions, the compiler evaluates the arguments from right to left instead of left to right. unsafeadd, unsafesub, unsafemul, unsafediv, powmod256, |, &, ^ bitwise operators, bitwiseor deprecated,...

CVE-2024-39242

A cross-site scripting XSS vulnerability in skycaiji v2.8 allows attackers to execute arbitrary web scripts or HTML via a crafted payload using evalString.fromCharCode...

(0Day) Foundation Agents MetaGPT actionoutput_str_to_mapping Code Injection Remote Code Execution Vulnerability

This vulnerability allows remote attackers to execute arbitrary code on affected installations of Foundation Agents MetaGPT. Authentication is not required to exploit this vulnerability. The specific flaw exists within the actionoutputstrtomapping function. The issue results from the lack of prop...

PT-2026-1999

Name of the Vulnerable Software and Affected Versions Langflow affected versions not specified Description Remote attackers can execute arbitrary code on affected installations without requiring authentication. The issue stems from a lack of proper validation of a user-supplied string within the...

Memory Poisoning Attack and Defense on Memory Based LLM-Agents

Large language model agents equipped with persistent memory are vulnerable to memory poisoning attacks, where adversaries inject malicious instructions through query only interactions that corrupt the agents long term memory and influence future responses. Recent work demonstrated that the MINJA...

Multi-Turn Jailbreaking Attack in Multi-Modal Large Language Models

In recent years, the security vulnerabilities of Multi-modal Large Language Models MLLMs have become a serious concern in the Generative Artificial Intelligence GenAI research. These highly intelligent models, capable of performing multi-modal tasks with high accuracy, are also severely susceptib...

CVE-2026-21683

iccDEV provides a set of libraries and tools that allow for the interaction, manipulation, and application of International Color Consortium ICC color management profiles. Versions prior to 2.3.1.2 have a Type Confusion vulnerability in icStatusCMM::CIccEvalCompare::EvaluateProfile. This...

CVE-2022-27123

Employee Performance Evaluation v1.0 was discovered to contain a SQL injection vulnerability via the email parameter...

CVE-2019-16554

A missing permission check in Jenkins Build Failure Analyzer Plugin 1.24.1 and earlier allows attackers with Overall/Read permission to have Jenkins evaluate a computationally expensive regular expression...

A Survey of Agentic AI and Cybersecurity: Challenges, Opportunities and Use-Case Prototypes

Agentic AI marks an important transition from single-step generative models to systems capable of reasoning, planning, acting, and adapting over long-lasting tasks. By integrating memory, tool use, and iterative decision cycles, these systems enable continuous, autonomous workflows in real-world...

Jailbreaking LLMs and VLMs: Mechanisms, Evaluation, and Unified Defense

This paper provides a systematic survey of jailbreak attacks and defenses on Large Language Models LLMs and Vision-Language Models VLMs, emphasizing that jailbreak vulnerabilities stem from structural factors such as incomplete training data, linguistic ambiguity, and generative uncertainty. It...

RedBench: A Universal Dataset for Comprehensive Red Teaming of Large Language Models

As large language models LLMs become integral to safety-critical applications, ensuring their robustness against adversarial prompts is paramount. However, existing red teaming datasets suffer from inconsistent risk categorizations, limited domain coverage, and outdated evaluations, hindering...

Important: amazon-cloudwatch-agent

Issue Overview: SSH Agent servers do not validate the size of messages when processing new identity requests, which may cause the program to panic if the message is malformed due to an out of bounds read. CVE-2025-47914 SSH servers parsing GSSAPI authentication requests do not validate the number...

expr-eval: expr-eval: Prototype Pollution

A prototype pollution flaw was found in expr-eval. An attacker with access to express eval interface can use JavaScript prototype-based inheritance model to achieve arbitrary code execution...

LLMs, You Can Evaluate It! Design of Multi-Perspective Report Evaluation for Security Operation Centers

Security operation centers SOCs often produce analysis reports on security incidents, and large language models LLMs will likely be used for this task in the near future. We postulate that a better understanding of how veteran analysts evaluate reports, including their feedback, can help produce...