6735 matches found
Improper Control of Interaction Frequency
Overview django-smart-ratelimit is an A flexible and efficient rate limiting library for Django applications Affected versions of this package are vulnerable to Improper Control of Interaction Frequency via counter.save function that does not implement atomic increments. In the fixed-window backe...
CVE-2025-6015: Improper Restriction of Excessive Authentication Attempts
Vault and Vault Enterprise’s “Vault” login MFA rate limits could be bypassed and TOTP tokens could be reused. Fixed in Vault Community Edition 1.20.1 and Vault Enterprise 1.20.1, 1.19.7, 1.18.12, and 1.16.23...
Exploit for CVE-2025-54589
CVE-2025-54589 – Copyparty Reflected XSS Author: Byte Rea...
CVE-2025-54834
OPEXUS FOIAXpress Public Access Link PAL version v11.1.0 allows an unauthenticated, remote attacker to query the /App/CreateRequest.aspx endpoint to check for the existence of valid usernames. There are no rate-limiting mechanisms in place...
CVE-2025-50850
An issue was discovered in CS Cart 4.18.3 allows the vendor login functionality lacks essential security controls such as CAPTCHA verification and rate limiting. This allows an attacker to systematically attempt various combinations of usernames and passwords brute-force attack to gain unauthoriz...
CVE-2025-50850
An issue was discovered in CS Cart 4.18.3 allows the vendor login functionality lacks essential security controls such as CAPTCHA verification and rate limiting. This allows an attacker to systematically attempt various combinations of usernames and passwords brute-force attack to gain unauthoriz...
OPEXUS FOIAXpress Public Access Link（OPEXUS FOIAXpress PAL） 安全漏洞
OPEXUS FOIAXpress Public Access Link OPEXUS FOIAXpress PAL is a secure public-facing web portal from OPEXUS that connects organizations with requesters and integrates with payment solutions, including payment solutions. A security vulnerability exists in OPEXUS FOIAXpress Public Access Link OPEXU...
PT-2025-31567
Name of the Vulnerable Software and Affected Versions OPEXUS FOIAXpress Public Access Link PAL version v11.1.0 Description OPEXUS FOIAXpress Public Access Link PAL version v11.1.0 allows an unauthenticated, remote attacker to query the /App/CreateRequest.aspx endpoint to check for the existence o...
CVE-2025-50850: Improper Access Control
An issue was discovered in CS Cart 4.18.3 allows the vendor login functionality lacks essential security controls such as CAPTCHA verification and rate limiting. This allows an attacker to systematically attempt various combinations of usernames and passwords brute-force attack to gain unauthoriz...
PT-2025-31554 · Cs Cart · Cs-Cart
Name of the Vulnerable Software and Affected Versions: CS Cart version 4.18.3 Description: The vendor login functionality lacks essential security controls, such as CAPTCHA verification and rate limiting. This allows an attacker to systematically attempt various combinations of usernames and...
CVE-2025-50850
An issue was discovered in CS Cart 4.18.3 allows the vendor login functionality lacks essential security controls such as CAPTCHA verification and rate limiting. This allows an attacker to systematically attempt various combinations of usernames and passwords brute-force attack to gain unauthoriz...
Prompt Optimization and Evaluation for LLM Automated Red Teaming
Applications that use Large Language Models LLMs are becoming widespread, making the identification of system vulnerabilities increasingly important. Automated Red Teaming accelerates this effort by using an LLM to generate and execute attacks against target systems. Attack generators are evaluat...
Strategic Deflection: Defending LLMs from Logit Manipulation
With the growing adoption of Large Language Models LLMs in critical areas, ensuring their security against jailbreaking attacks is paramount. While traditional defenses primarily rely on refusing malicious prompts, recent logit-level attacks have demonstrated the ability to bypass these safeguard...
ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models
Machine unlearning MU removes specific data points or concepts from deep learning models to enhance privacy and prevent sensitive content generation. Adversarial prompts can exploit unlearned models to generate content containing removed concepts, posing a significant security risk. However,...
CVE-2025-54568
Akamai Rate Control alpha before 2025 allows attackers to send requests above the stipulated thresholds because the rate is measured separately for each edge node...
Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection
Recent advances in synthetic speech have made audio deepfakes increasingly realistic, posing significant security risks. Existing detection methods that rely on a single modality, either raw waveform embeddings or spectral based features, are vulnerable to non spoof disturbances and often overfit...
Sparse Regression Codes for Secret Key Agreement: Achieving Strong Secrecy and Near-Optimal Rates for Gaussian Sources
Secret key agreement from correlated physical layer observations is a cornerstone of information-theoretic security. This paper proposes and rigorously analyzes a complete, constructive protocol for secret key agreement from Gaussian sources using Sparse Regression Codes SPARCs. Our protocol...
ConSeg: Contextual Backdoor Attack against Semantic Segmentation
Despite significant advancements in computer vision, semantic segmentation models may be susceptible to backdoor attacks. These attacks, involving hidden triggers, aim to cause the models to misclassify instances of the victim class as the target class when triggers are present, posing serious...
