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Tenable Nessus
Tenable Nessus
•added 2025/06/11 12:00 a.m.•7 views

EulerOS 2.0 SP12 : libxslt (EulerOS-SA-2025-1600)

According to the versions of the libxslt package installed, the EulerOS installation on the remote host is affected by the following vulnerabilities : numbers.c in libxslt before 1.1.43 has a use-after-free because, in nested XPath evaluations, an XPath context node can be modified but never...

7.8CVSS7.1AI score0.00358EPSS
SaveExploits4References3
ICS
ICS
•added 2025/06/10 5:00 a.m.•30 views

SinoTrack GPS Receiver

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to access device profiles for which they are not authorized through the common web management interface. Access to the device profile may allow an attacker to perform some remote functions on connected...

8.3CVSS6.8AI score0.00452EPSS
SaveExploits0References10
Packet Storm News
Packet Storm News
•added 2025/06/10 12:00 a.m.•31 views

Your Agent Can Defend Itself against Backdoor Attacks

Despite their growing adoption across domains, large language model LLM-powered agents face significant security risks from backdoor attacks during training and fine-tuning. These compromised agents can subsequently be manipulated to execute malicious operations when presented with specific...

7.3AI score
SaveExploits0
Packet Storm News
Packet Storm News
•added 2025/06/10 12:00 a.m.•17 views

Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings

Federated learning FL enables collaborative model training among multiple clients without the need to expose raw data. Its ability to safeguard privacy, at the heart of FL, has recently been a hot-button debate topic. To elaborate, several studies have introduced a type of attacks known as gradie...

6.8AI score
SaveExploits0
Packet Storm News
Packet Storm News
•added 2025/06/10 12:00 a.m.•19 views

SoK: Machine Unlearning for Large Language Models

Large language model LLM unlearning has become a critical topic in machine learning, aiming to eliminate the influence of specific training data or knowledge without retraining the model from scratch. A variety of techniques have been proposed, including Gradient Ascent, model editing, and...

7AI score
SaveExploits0
Metasploit
Metasploit
•added 2025/06/10 12:00 a.m.•395 views

n8n Workflow Expression Remote Code Execution

This module exploits a critical remote code execution vulnerability CVE-2025-68613 in the n8n workflow automation platform. The vulnerability exists in the workflow expression evaluation system where user-supplied expressions enclosed in are evaluated in an execution context that is not...

9.9CVSS8.9AI score0.98994EPSS
SaveExploits35
Github Security Blog
Github Security Blog
•added 2025/06/09 6:30 a.m.•21 views

Authorino Uncontrolled Resource Consumption vulnerability

A Developer persona can bring down the Authorino service, preventing the evaluation of all AuthPolicies on the cluster...

5.7CVSS5.9AI score0.00333EPSS
SaveExploits0References4Affected Software1
OSV
OSV
•added 2025/06/09 6:30 a.m.•15 views

GHSA-VQVV-2WJ5-Q34W Authorino Uncontrolled Resource Consumption vulnerability

A Developer persona can bring down the Authorino service, preventing the evaluation of all AuthPolicies on the cluster...

5.7CVSS7.2AI score0.00333EPSS
SaveExploits0References4
NVD
NVD
•added 2025/06/09 6:15 a.m.•21 views

CVE-2025-25208

A Developer persona can bring down the Authorino service, preventing the evaluation of all AuthPolicies on the cluster...

5.7CVSS0.00333EPSS
SaveExploits0References2
Cvelist
Cvelist
•added 2025/06/09 6:13 a.m.•28 views

CVE-2025-25208 Rhcl: authorino denial of service through authpolicy with sharedsecretref severity

A Developer persona can bring down the Authorino service, preventing the evaluation of all AuthPolicies on the cluster...

5.7CVSS0.00333EPSS
SaveExploits0References2
Packet Storm News
Packet Storm News
•added 2025/06/09 12:00 a.m.•45 views

SoK: Data Reconstruction Attacks against Machine Learning Models: Definition, Metrics, and Benchmark

Data reconstruction attacks, which aim to recover the training dataset of a target model with limited access, have gained increasing attention in recent years. However, there is currently no consensus on a formal definition of data reconstruction attacks or appropriate evaluation metrics for...

6.8AI score
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Packet Storm News
Packet Storm News
•added 2025/06/09 12:00 a.m.•34 views

MalGEN: a Generative Agent Framework for Modeling Malicious Software in Cybersecurity

The dual use nature of Large Language Models LLMs presents a growing challenge in cybersecurity. While LLM enhances automation and reasoning for defenders, they also introduce new risks, particularly their potential to be misused for generating evasive, AI crafted malware. Despite this emerging...

6.8AI score
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Packet Storm News
Packet Storm News
•added 2025/06/09 12:00 a.m.•13 views

Secure Distributed Learning for CAVs: Defending against Gradient Leakage with Leveled Homomorphic Encryption

Federated Learning FL enables collaborative model training across distributed clients without sharing raw data, making it a promising approach for privacy-preserving machine learning in domains like Connected and Autonomous Vehicles CAVs. However, recent studies have shown that exchanged model...

6.8AI score
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Positive Technologies
Positive Technologies
•added 2025/06/09 12:00 a.m.•10 views

PT-2025-24400

Name of the Vulnerable Software and Affected Versions Authorino affected versions not specified Description A Developer persona can bring down the Authorino service, preventing the evaluation of all AuthPolicies on the cluster. Recommendations At the moment, there is no information about a newer...

9.8CVSS5.4AI score0.0158EPSS
SaveExploits4References40
Packet Storm News
Packet Storm News
•added 2025/06/07 12:00 a.m.•13 views

Can In-Context Reinforcement Learning Recover from Reward Poisoning Attacks?

We study the corruption-robustness of in-context reinforcement learning ICRL, focusing on the Decision-Pretrained Transformer DPT, Lee et al., 2023. To address the challenge of reward poisoning attacks targeting the DPT, we propose a novel adversarial training framework, called Adversarially...

6.9AI score
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Packet Storm News
Packet Storm News
•added 2025/06/06 12:00 a.m.•14 views

The Scales of Justitia: a Comprehensive Survey on Safety Evaluation of LLMs

With the rapid advancement of artificial intelligence technology, Large Language Models LLMs have demonstrated remarkable potential in the field of Natural Language Processing NLP, including areas such as content generation, human-computer interaction, machine translation, and code generation,...

7.5AI score
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CNNVD
CNNVD
•added 2025/06/06 12:00 a.m.•16 views

SpiceDB 安全特征问题漏洞

SpiceDB is a fine-grained permissions database from the Authzed team. A security feature issue vulnerability exists in SpiceDB versions prior to 1.44.2, which stems from a schema evaluation issue involving arrow relationships that could result in an incorrect response...

5.3CVSS6.3AI score0.00315EPSS
SaveExploits0References1
Packet Storm News
Packet Storm News
•added 2025/06/06 12:00 a.m.•17 views

Rethinking Machine Unlearning in Image Generation Models

With the surge and widespread application of image generation models, data privacy and content safety have become major concerns and attracted great attention from users, service providers, and policymakers. Machine unlearning MU is recognized as a cost-effective and promising means to address...

7.3AI score
SaveExploits0
Packet Storm News
Packet Storm News
•added 2025/06/06 12:00 a.m.•15 views

Benchmarking Misuse Mitigation against Covert Adversaries

Existing language model safety evaluations focus on overt attacks and low-stakes tasks. Realistic attackers can subvert current safeguards by requesting help on small, benign-seeming tasks across many independent queries. Because individual queries do not appear harmful, the attack is hard to...

7.2AI score
SaveExploits0
ICS
ICS
•added 2025/06/05 6:00 a.m.•22 views

CyberData 011209 SIP Emergency Intercom

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to disclose sensitive information, cause a denial-of-service condition, or achieve code execution. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation...

8.1AI score
SaveExploits0References10
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