CVE-2020-37035: Improper Neutralization of Special Elements used in an SQL Command

e-Learning PHP Script 0.1.0 contains a SQL injection vulnerability in the search functionality that allows attackers to manipulate database queries through unvalidated user input. Attackers can inject malicious SQL code in the 'search' parameter to potentially extract, modify, or access sensitive...

ClearML safe_extract() Code Execution

The vulnerability of the safeextract function in the ClearML machine learning platform is related to an incorrect restriction on the path name to the restricted catalog. Exploiting this vulnerability could allow a attacker to execute arbitrary code...

Moodle Subtitles XSS

The vulnerability of the subtitles field in the virtual learning environment Moodle is related to the lack of measures taken to protect the structure of the web page. Exploiting this vulnerability could allow a malicious actor to perform cross-site scripting attacks XSS remotely...

QCL-IDS: Quantum Continual Learning for Intrusion Detection with Fidelity-Anchored Stability and Generative Replay

Continual intrusion detection must absorb newly emerging attack stages while retaining legacy detection capability under strict operational constraints, including bounded compute and qubit budgets and privacy rules that preclude long-term storage of raw telemetry. We propose QCL-IDS, a...

Hardware-Triggered Backdoors

Machine learning models are routinely deployed on a wide range of computing hardware. Although such hardware is typically expected to produce identical results, differences in its design can lead to small numerical variations during inference. In this work, we show that these variations can be...

ReasoningBomb: A Stealthy Denial-Of-Service Attack by Inducing Pathologically Long Reasoning in Large Reasoning Models

Large reasoning models LRMs extend large language models with explicit multi-step reasoning traces, but this capability introduces a new class of prompt-induced inference-time denial-of-service PI-DoS attacks that exploit the high computational cost of reasoning. We first formalize inference cost...

A Systematic Literature Review on LLM Defenses against Prompt Injection and Jailbreaking: Expanding NIST Taxonomy

The rapid advancement and widespread adoption of generative artificial intelligence GenAI and large language models LLMs has been accompanied by the emergence of new security vulnerabilities and challenges, such as jailbreaking and other prompt injection attacks. These maliciously crafted inputs...

CVE-2020-36944

ILIAS Learning Management System 4.3 contains a server-side request forgery vulnerability that allows attackers to read local files through portfolio PDF export functionality. Attackers can inject a script that uses XMLHttpRequest to retrieve local file contents when the portfolio is exported to...

CVE-2020-36944

ILIAS Learning Management System 4.3 contains a server-side request forgery vulnerability that allows attackers to read local files through portfolio PDF export functionality. Attackers can inject a script that uses XMLHttpRequest to retrieve local file contents when the portfolio is exported to...

EUVD-2020-30890

ILIAS Learning Management System 4.3 contains a server-side request forgery vulnerability that allows attackers to read local files through portfolio PDF export functionality. Attackers can inject a script that uses XMLHttpRequest to retrieve local file contents when the portfolio is exported to...

CVE-2020-36944

ILIAS Learning Management System 4.3 is affected by a server-side request forgery (SSRF) vulnerability that lets an attacker read local files via the portfolio PDF export feature. The published description states an attacker can inject a script that uses XMLHttpRequest to retrieve local file cont...

CVE-2020-36944 ILIAS Learning Management System 4.3 - SSRF

ILIAS Learning Management System 4.3 contains a server-side request forgery vulnerability that allows attackers to read local files through portfolio PDF export functionality. Attackers can inject a script that uses XMLHttpRequest to retrieve local file contents when the portfolio is exported to...

CVE-2020-36944 ILIAS Learning Management System 4.3 - SSRF

ILIAS Learning Management System 4.3 contains a server-side request forgery vulnerability that allows attackers to read local files through portfolio PDF export functionality. Attackers can inject a script that uses XMLHttpRequest to retrieve local file contents when the portfolio is exported to...

Helper-Assisted Coding for Gaussian Wiretap Channels: Deep Learning Meets PhySec

Consider the Gaussian wiretap channel, where a transmitter wishes to send a confidential message to a legitimate receiver in the presence of an eavesdropper. It is well known that if the eavesdropper experiences less channel noise than the legitimate receiver, then it is impossible for the...

Llama-3.1-FoundationAI-SecurityLLM-Reasoning-8B Technical Report

We present Foundation-Sec-8B-Reasoning, the first open-source native reasoning model for cybersecurity. Built upon our previously released Foundation-Sec-8B base model derived from Llama-3.1-8B-Base, the model is trained through a two-stage process combining supervised fine-tuning SFT and...

CVE-2020-36944: Server-Side Request Forgery (SSRF)

ILIAS Learning Management System 4.3 contains a server-side request forgery vulnerability that allows attackers to read local files through portfolio PDF export functionality. Attackers can inject a script that uses XMLHttpRequest to retrieve local file contents when the portfolio is exported to...

CVE-2025-15469

Issue summary: The 'openssl dgst' command-line tool silently truncates input data to 16MB when using one-shot signing algorithms and reports success instead of an error. Impact summary: A user signing or verifying files larger than 16MB with one-shot algorithms such as Ed25519, Ed448, or ML-DSA m...

NVIDIA RunX security vulnerabilities

NVIDIA runx is a deep learning experiment management tool developed by NVIDIA Corporation. NVIDIA runx contains a security vulnerability, which stems from code injection. This vulnerability may lead to code execution, denial of service, privilege escalation, information leakage, and data corrupti...

CVE-2020-36960

Forma LMS 2.3 contains a stored cross-site scripting vulnerability that allows attackers to inject malicious scripts into user profile first and last name fields. Attackers can craft scripts like 'alertdocument.cookie' to execute arbitrary JavaScript when the profile is viewed by other users...

CVE-2020-36960

Forma LMS 2.3 contains a stored cross-site scripting (XSS) vulnerability in the user profile first/last name fields. An attacker can inject scripts (e.g., ) that execute when other users view the profile. Connected sources provide CVSS scores (4.0: 5.1/ MEDIUM; 3.1: 6.4/ MEDIUM) and confirm the v...