أداة طرفية واحدة تجمع مهام متعددة في بايثون.
توفر void tools قدرات OSINT، أدوات للشبكات، ولوحة TUI مبنية بـ Rich، مع التأكيد أن الاستخدام تعليمي فقط.
One Python terminal tool for security learning.
void tools combines OSINT workflows, network utilities, and a Rich powered TUI dashboard. Built for educational use only. github.com/v0id4real/Void-To…#OSINT#PythonSecurity#NetworkUtilities
تنبيه مهم لمطوري بايثون
هجوم Hades على PyPI كشف تسميم 19 حزمة لتشغيل سارق بيانات اعتماد مبني على Bun تلقائياً.
الدرس واضح: التحقق من الحزم قبل التثبيت أصبح ضرورة أمنية.
Supply chain risk is accelerating.
The Hades PyPI attack poisoned 19 packages to auto execute a Bun based credential stealer. Dependency checks, package reputation, and install scripts deserve closer review. thehackernews.com/2026/06/ha…#PyPI#PythonSecurity#SoftwareSupplyChain
asking your ai for a fastapi backend?
check the requirements.txt before you pip install.
the model loves inventing deps like fastapi-mongodb-helper that sound real and don’t exist, until an attacker registers the name and packs it with malware.
that’s slopsquatting. verify every dependency against a live registry first.
#slopsquatting#supplychain#pythonsecurity
Researchers just exposed DEEP#DOOR, a Python backdoor that steals browser & cloud credentials via tunneling, what's the most effective way to block such batch scripts from disabling Windows security controls?
#cybersecurity#infosec#pythonsecurity
⚠️ Malicious PyPI Package “soopsocks” Infected Over 2,600 Systems
thehackernews.com/2025/10/al…
A PyPI package posing as a SOCKS5 utility deployed a backdoor on Windows systems, executed PowerShell scripts, escalated privileges, and exfiltrated data to a hard-coded Discord webhook.
The attackers leveraged automatic installation, firewall manipulation, and persistence techniques to stay hidden.
#CyberSecurity#ThreatHunting#PythonSecurity
Fake PyPI site targets Python devs, delivering malware via malicious packages in phishing campaign—comprises dev workflows and credentials. 🚨 Verify sources, monitor build environments.
Full breakdown here: dailysecurityreview.com/secu…#PythonSecurity#Phishing#SupplyChain
Vulnerability Detection Model using LLM and Code Chunk - arxiv.org/pdf/2506.19453
Software supply chain vulnerabilities arise when attackers exploit weaknesses by injecting vulnerable code into widely used packages or libraries within software repositories. While most existing approaches focus on identifying vulnerable packages or libraries, they often overlook the specific functions responsible for these vulnerabilities. Pinpointing vulnerable functions within packages or libraries is critical, as it can significantly reduce the risks associated with using open-source software. Identifying vulnerable patches is challenging because developers often submit code changes that are unrelated to vulnerability fixes.
To address this issue, this paper introduces FuncVul, an innovative code chunk-based model for function-level vulnerability detection in C/C and Python, designed to identify multiple vulnerabilities within a function by focusing on smaller, critical code segments. To assess the model’s effectiveness, we construct six code and generic code chunk based datasets using two approaches: (1) integrating patch information with large language models to label vulnerable samples and (2) leveraging large language models alone to detect vulnerabilities in function-level code. To design FuncVul vulnerability model, we utilise GraphCodeBERT fine tune model that captures both the syntactic and semantic aspects of code.
Experimental results show that FuncVul outperforms existing state-of-the-art models, achieving an average accuracy of 87-92% and an F1 score of 86-92% across all datasets. Furthermore, we have demonstrated that our codechunk-based FuncVul model improves 53.9% accuracy and 42.0% F1-score than the full function-based vulnerability prediction.
#FuncVul#LLMSecurity#CodeChunks#VulnerabilityDetection#SoftwareSupplyChain#OpenSourceSecurity#GraphCodeBERT#FunctionLevelAnalysis#PatchDetection#CodeSecurity#AI4Code#CVEAnalysis#SecureCoding#AIinSecurity#CodeVulnerabilities#LLMDetection#PythonSecurity#CppSecurity#SemanticCodeAnalysis#AISoftwareSecurity