35628 matches found
Seclens: Role-Specific Evaluation of LLM'S for Security Vulnerablity Detection
Existing benchmarks for LLM-based vulnerability detection compress model performance into a single metric, which fails to reflect the distinct priorities of different stakeholders. For example, a CISO may emphasize high recall of critical vulnerabilities, an engineering leader may prioritize...
AgentWatcher: A Rule-Based Prompt Injection Monitor
Large language models LLMs and their applications, such as agents, are highly vulnerable to prompt injection attacks. State-of-the-art prompt injection detection methods have the following limitations: 1 their effectiveness degrades significantly as context length increases, and 2 they lack...
Suricata 安全漏洞
Suricata is a network IDS, IPS, and NSM engine developed by the Open Information Security Foundation. Vulnerabilities existed in versions prior to Suricata 7.0.15 and 8.0.4. These vulnerabilities were caused by specially crafted traffic, which could slow down Suricata’s operation in IDS mode,...
PT-2026-29968
Name of the Vulnerable Software and Affected Versions fast-jwt affected versions not specified Description The fast-jwt library contains an incomplete fix for a JWT algorithm confusion issue. The public key matcher regex in fast-jwt/src/crypto.js uses a leading anchor that can be bypassed by...
Combating Data Laundering in LLM Training
Data rights owners can detect unauthorized data use in large language model LLM training by querying with proprietary samples. Often, superior performance e.g., higher confidence or lower loss on a sample relative to the untrained data implies it was part of the training corpus, as LLMs tend to...
EUVD-2026-18005
ChangeDetection.io versions prior to 0.54.7 contain a protection bypass vulnerability in the SafeXPath3Parser implementation that allows attackers to read arbitrary local files by using unblocked XPath 3.0/3.1 functions such as json-doc and similar file-access primitives. Attackers can exploit th...
CVE-2026-35000
ChangeDetection.io versions prior to 0.54.7 contain a protection bypass vulnerability in the SafeXPath3Parser implementation that allows attackers to read arbitrary local files by using unblocked XPath 3.0/3.1 functions such as json-doc and similar file-access primitives. Attackers can exploit th...
PYSEC-2026-2131
ChangeDetection.io versions prior to 0.54.7 contain a protection bypass vulnerability in the SafeXPath3Parser implementation that allows attackers to read arbitrary local files by using unblocked XPath 3.0/3.1 functions such as json-doc and similar file-access primitives. Attackers can exploit th...
CVE-2026-35000
ChangeDetection.io versions prior to 0.54.7 contain a protection bypass vulnerability in the SafeXPath3Parser implementation that allows attackers to read arbitrary local files by using unblocked XPath 3.0/3.1 functions such as json-doc and similar file-access primitives. Attackers can exploit th...
CVE-2026-35000
ChangeDetection.io before version 0.54.7 contains a bypass in the SafeXPath3Parser that can read local files by using unblocked XPath 3.0/3.1 functions (e.g., json-doc()) due to an incomplete blocklist. Affected software is ChangeDetection.io; attackers could access sensitive data from the local ...
CVE-2026-35000 ChangeDetection.io < 0.54.7 SafeXPath3Parser Bypass Arbitrary File Read
ChangeDetection.io versions prior to 0.54.7 contain a protection bypass vulnerability in the SafeXPath3Parser implementation that allows attackers to read arbitrary local files by using unblocked XPath 3.0/3.1 functions such as json-doc and similar file-access primitives. Attackers can exploit th...
CVE-2026-35000 ChangeDetection.io < 0.54.7 SafeXPath3Parser Bypass Arbitrary File Read
ChangeDetection.io versions prior to 0.54.7 contain a protection bypass vulnerability in the SafeXPath3Parser implementation that allows attackers to read arbitrary local files by using unblocked XPath 3.0/3.1 functions such as json-doc and similar file-access primitives. Attackers can exploit th...
3 Reasons Attackers Are Using Your Trusted Tools Against You (And Why You Don’t See It Coming)
For years, cybersecurity has followed a familiar model: block malware, stop the attack. Now, attackers are moving on to what’s next. Threat actors now use malware less frequently in favor of what’s already inside your environment, including abusing trusted tools, native binaries, and legitimate...
Obfuscating Code Vulnerabilities against Static Analysis in JavaScript Code
Code obfuscation is widely adopted in modern software development to protect intellectual property and hinder reverse engineering, but it also provides attackers with a powerful means to conceal malicious logic inside otherwise legitimate JavaScript code. In a software supply chain where a single...
Exploit for CVE-2014-8361
Vuln Scanner - Advanced Network Security Scanner !Licenseht...
obfuscate_xss_detection_boosting_
No d...
Axios NPM Distribution Compromised in Supply Chain Attack
A compromised axios maintainer account led to malicious npm releases that propagated across environments. Learn how to assess impact, detect compromise, and secure your development workflows...
Malware and Ransomware Detection in M365
Availability Requirement Threat Detection is available to Veeam Data Cloud for Microsoft 365 customers with Premium or Advanced plans. Customers must opt in to AI settings to enable this feature. Contact your Veeam account team or see your plan details to confirm availability. Supported Workloads...
Efficient Software Vulnerability Detection Using Transformer-Based Models
Detecting software vulnerabilities is critical to ensuring the security and reliability of modern computer systems. Deep neural networks have shown promising results on vulnerability detection, but they lack the capability to capture global contextual information on vulnerable code. To address th...