PyPI

2026-07-1412 minCisco Taloshigh

This article provides a comprehensive analysis of how malicious Python packages can execute arbitrary code during installation and runtime, categorizing techniques into build hook abuses (setup.py command classes, .pth files, site hooks, PYTHONPATH manipulation) and package content abuses (init.py, main.py, entry point hijacking, package overriding). Each technique is assessed for persistence, OS support, and distribution compatibility. The article highlights that developers are high-value targets due to administrative access to sensitive assets, and that payload execution can occur within minutes of package installation with exfiltration within an hour.

2026-07-0812 minSockethigh

A coordinated supply-chain campaign published 17 typosquatted npm and PyPI packages mimicking PaySafe, Skrill, and Neteller payment SDKs. The packages implement a fake SDK facade that harvests environment variables containing credentials and tokens, then exfiltrates them over HTTPS to an ngrok-based C2 server. The malware includes sandbox evasion logic and multi-layer C2 domain obfuscation to hinder analysis.

AI Attacked and Abused While Perimeter Authentication Collapses The month's defining shift was the emergence of AI as a two-sided battlefield: organizations deployed AI tools faster than they secured them, while attackers weaponized the same technology against defenders. Critical flaws in LangGraph allowed SQL injection chained to remote code execution, M365 Copilot could be turned into a one-click data exfiltration weapon via SearchLeak, and Langflow was exploited to deploy cryptominers. Meanwhile, the ongoing Shai-Hulud campaign injected prompts to blind AI malware scanners, macOS.Gaslight turned prompt injection against human analysts, and Russia's APT28 began experimenting with LLM-integrated malware. At the same time, perimeter authentication collapsed at scale: FortiBleed exposed credentials for over 73,000 FortiGate firewalls, CVE-2026-50751 let attackers bypass Check Point VPN authentication entirely, and ShinyHunters exploited an Oracle PeopleSoft zero-day across over 100 organizations. Supply chain attackers followed developers to their new AI tools, compromising the ecosystems where code is written and built. The Shai-Hulud/Miasma worm expanded from npm into PyPI and injected persistent backdoors into AI coding assistant configurations, while North Korea's Sapphire Sleet compromised over 140 Mastra npm packages to steal cryptocurrency wallets, and the ongoing GlassWorm campaign pivoted to WebAssembly malware in VS Code extensions using the Solana blockchain as command-and-control. Social engineering also industrialized: the ErrTraffic framework turned ClickFix deception into a Malware-as-a-Service operation with blockchain dead drops, and EvilTokens hid phishing flows inside browser-side encryption to defeat network scanners while hijacking Microsoft device-code authentication. Organizations should treat AI deployments as untrusted perimeter assets—restrict their network access, audit third-party skills and extensions, and assume prompt-injection attacks will target both automated scanners and human analysts. Every internet-facing VPN, firewall, and edge appliance should be patched immediately, with credentials rotated and phishing-resistant MFA enforced, because perimeter authentication failures now cascade directly into internal network compromise.

2026-06-136 minZscaler ThreatLabzcritical

The Shai-Hulud software supply chain campaign has significantly evolved, expanding from npm to PyPI and shifting from maintainer compromise to CI/CD abuse. Recent waves demonstrate advanced techniques including OIDC token scraping to bypass SLSA provenance, IDE configuration file weaponization, and prompt injection designed to evade LLM-based security scanners.

2026-06-097 minSockethigh

A fast-moving supply chain campaign dubbed Mini Shai-Hulud/Miasma is targeting Python developers via malicious PyPI wheels. The threat actors are utilizing novel execution techniques, including trojanized native extensions and split-loader .pth hooks that search sys.path for payloads, to deploy the Hades stealer and harvest credentials from CI/CD pipelines and developer workstations.

Trojanized Build Pipelines and Blind-Spot Appliances Redefine the Perimeter Attackers are bypassing traditional network defenses by compromising the tools developers use to build software and the AI assistants they rely on to write code. Campaigns like Mini Shai-Hulud and Miasma - The Spreading Blight flooded package registries with malicious code that steals cloud credentials and CI/CD tokens, while researchers proved that public AI agent skill marketplaces are completely ineffective at catching malicious add-ons. Nation-state actors and cybercriminals are simultaneously shifting their focus to blind spots in corporate networks and trusted platforms. The VerdantBamboo group exploited firewalls to bypass conditional access, while UNC3753 used IT impersonation to trick law firm employees into installing remote access tools, and Kali365 expanded its phishing infrastructure to steal multi-factor authentication tokens. Defenders must shift their focus from perimeter email filtering to securing the software build pipeline and monitoring edge appliances for anomalous traffic. Hunt for unexpected connections to cloud storage APIs and review developer environments for compromised packages or AI skills.

2026-06-077 minSocketcritical

A coordinated supply chain attack compromised 19 PyPI packages, utilizing malicious .pth files to achieve execution at Python startup. The loader downloads the Bun runtime to execute an obfuscated JavaScript stealer targeting developer secrets, cloud credentials, and CI/CD tokens, exfiltrating data via GitHub repositories and Actions.

2026-05-265 minCrowdStrikecritical

CrowdStrike, in collaboration with Google and Shadowserver, successfully dismantled the Glassworm botnet, a highly resilient threat targeting software developers. The threat actors utilized trojanized IDE extensions and malicious package dependencies to deploy GlasswormRAT, leveraging a complex C2 infrastructure spanning the Solana blockchain, BitTorrent DHT, and Google Calendar to maintain persistent access to developer environments.

Software Supply Chain and AI Exploitation Dominate Threat Landscape The software supply chain has become the primary battlefield for attackers because compromising a single developer tool can cascade into thousands of enterprise networks. Campaigns like Mini Shai-Hulud and TrapDoor are stealing credentials and injecting backdoors across major code registries, while the Laravel Lang Compromise and the Coruna Exploit Kit show how malicious code can automatically execute to steal secrets or exploit end users. As a result, organizations must treat developer environments as high-value targets, because a single compromised package or malicious VS Code extension can lead to catastrophic breaches like the GitHub internal repository theft by TeamPCP. In parallel, artificial intelligence is simultaneously accelerating attacks and creating dangerous new attack surfaces. Threat actors are using AI to automate influence campaigns like Patriot Bait and crack passwords, while also impersonating AI tools like Gemini CLI and Claude Code to deliver infostealers. Furthermore, attackers are directly targeting exposed AI infrastructure, such as Ollama AI endpoints, and manipulating AI coding assistants via hidden prompt injections in campaigns like TrapDoor, which means AI systems are both the weapon and the target. These trends together suggest that traditional perimeter defenses are failing against supply chain and AI-driven threats. Managers should immediately enforce strict vetting of open-source packages, restrict developer access to unverified extensions, and ensure AI infrastructure is not exposed to the public internet.

2026-05-247 minSocketcritical

The TrapDoor campaign is a sophisticated supply chain attack targeting crypto, DeFi, and AI developers across npm, PyPI, and Crates.io. The threat actor deployed over 34 malicious packages that utilize ecosystem-specific execution methods to steal credentials, wallets, and SSH keys, while uniquely leveraging AI configuration files like .cursorrules to trick AI assistants into executing exfiltration workflows.

2026-05-234 minSocketmedium

The integration of AI coding tools has fundamentally altered the open-source ecosystem, driving an exponential increase in npm package creation and automating dependency selection. This shift transforms the software supply chain into an automated black box, bypassing traditional human review processes and elevating the risk of supply chain malware infections, thereby requiring automated behavioral analysis for mitigation.

2026-05-144 minSockethigh

TeamPCP has partnered with BreachForums to launch a supply chain attack contest, incentivizing threat actors to compromise open-source packages using the open-sourced Shai-Hulud worm. The campaign targets CI/CD pipelines and developer environments to harvest credentials, posing a significant risk of downstream enterprise compromises.

2026-05-138 minTrend Microcritical

TeamPCP (SHADOW-WATER-058) executed a sophisticated supply chain campaign compromising developer toolchains across multiple ecosystems, including Docker Hub, PyPI, and GitHub Actions. The attacks leveraged CI/CD trust, such as unsanitized PR comments and stolen publisher tokens, to distribute credential-harvesting payloads via Python .pth files and the Bun runtime, targeting over 80 credential types and abusing live AWS APIs.

2026-05-137 minSocketcritical

A sophisticated supply-chain worm dubbed 'Mini Shai-Hulud' has compromised numerous high-profile npm and PyPI packages, including TanStack and Mistral AI. The heavily obfuscated payload targets CI/CD environments to systematically harvest credentials from GitHub, AWS, Vault, and Kubernetes. It autonomously propagates by minting npm publish tokens and committing malicious code to repositories, while exfiltrating stolen secrets via the Session P2P network.

2026-05-134 minSocketinfo

The release of pnpm 11 introduces significant supply chain security enhancements, including a default 24-hour minimum release age for packages, the blocking of exotic subdependencies, and a streamlined allowBuilds model. These features are designed to mitigate rapid supply chain attacks, such as the recent Mini Shai-Hulud campaign, by restricting install-time execution and unexpected dependency sources.

OceanLotus is suspected of orchestrating a PyPI supply chain attack using malicious wheel packages to deliver a novel cross-platform malware named ZiChatBot. The malware acts as a dropper for Windows and Linux systems, establishing persistence and utilizing the Zulip team chat application's REST APIs for command and control.

2026-05-134 minSockethigh

A recent security audit of PyPI by Trail of Bits uncovered 14 vulnerabilities, including high-severity access control flaws that allowed unauthorized role escalation and persistent stale permissions across project transfers. Additionally, a JWT replay vulnerability in the OIDC trusted publishing flow and an unpatched metadata validation gap highlight ongoing supply chain risks for Python package consumers.

2026-05-137 minTrend Microcritical

Quasar Linux (QLNX) is an advanced, previously undocumented Linux Remote Access Trojan (RAT) designed to compromise developer workstations and facilitate supply chain attacks. It employs sophisticated evasion techniques, including fileless execution, process name spoofing, and dynamically compiled LD_PRELOAD and eBPF rootkits, alongside a PAM backdoor to harvest critical cloud and repository credentials.

2026-05-136 minSocketcritical

The popular PyPI package 'lightning' was compromised in a supply chain attack affecting versions 2.6.2 and 2.6.3. The malicious package executes an obfuscated JavaScript payload via the Bun runtime to harvest cloud and developer credentials, poison GitHub repositories by impersonating Anthropic's Claude Code, and infect local npm packages.

2026-05-135 minSocketcritical

A supply chain attack targeting npm packages associated with Namastex.ai has been discovered, utilizing CanisterWorm-style malware. The malicious packages execute upon installation to harvest developer credentials, cloud secrets, and cryptocurrency wallets, exfiltrating data to an ICP canister and webhooks while attempting to self-propagate across the npm and PyPI ecosystems.

2026-05-133 minSocketlow

Socket has been selected for OpenAI's Cybersecurity Grant Program, gaining API credits and access to frontier models via the Trusted Access for Cyber framework. This partnership enhances Socket's ability to detect malicious packages in open-source registries like npm and PyPI in near real-time, countering the increasing speed and automation of supply chain attacks.

2026-05-136 minSockethigh

North Korea's Contagious Interview campaign has launched a coordinated supply chain attack across five major open-source ecosystems. The threat actors published malicious packages masquerading as legitimate developer tools that act as staged loaders to deliver remote access trojans (RATs) and infostealers to developer workstations.

2026-05-135 minZscaler ThreatLabzcritical

In March 2026, severe software supply chain attacks targeted popular open-source packages. A North Korean threat actor compromised the Axios NPM package to distribute a cross-platform RAT, while the TeamPCP group poisoned the LiteLLM PyPI package to harvest cloud and infrastructure secrets.

2026-05-135 minElastic Security Labscritical

Suspected DPRK state actors compromised the highly popular Axios npm package by taking over a maintainer's account and publishing malicious versions that deployed a cross-platform RAT via a phantom dependency. Concurrently, a threat group named TeamPCP conducted a cascading supply chain attack affecting Trivy, LiteLLM, and Telnyx to harvest CI/CD credentials. These incidents underscore the critical need for automated package monitoring, rapid credential rotation, and delayed dependency updates.

2026-05-136 minSocketcritical

The official Telnyx Python SDK on PyPI was compromised by the threat actor TeamPCP, who published malicious versions (4.87.1 and 4.87.2) containing credential-harvesting malware. The malware executes upon module import, utilizing audio steganography to deliver OS-specific payloads: a fileless in-memory harvester for Linux/macOS and a persistent binary for Windows, with exfiltrated data secured via hybrid encryption.

2026-05-136 minAkamaicritical

Threat actor TeamPCP orchestrated a cascading supply chain attack by exploiting a misconfigured GitHub Actions workflow in Aqua Security's Trivy, harvesting credentials to compromise subsequent repositories including Checkmarx, LiteLLM, and Telnyx. The malicious packages deploy sophisticated, OS-specific remote access trojans (RATs) that utilize steganography, process hollowing, and ETW patching to evade detection while exfiltrating sensitive data.

2026-05-136 minTrend Microcritical

The TeamPCP threat actor compromised the Telnyx Python SDK on PyPI, injecting malicious code that executes upon import. The attack utilizes split-file injection and WAV audio steganography to deliver credential-stealing malware, establishing persistence on Windows systems and exfiltrating data via plaintext HTTP.

2026-05-134 minSocketcritical

The threat actor TeamPCP is conducting a highly coordinated supply chain campaign targeting widely used open-source security tools and developer infrastructure, including Trivy, Checkmarx' KICS, and LiteLLM. By compromising CI/CD pipelines and GitHub Actions, the attackers are successfully turning trusted security scanners into infostealers to harvest and exfiltrate massive amounts of enterprise credentials.

AI Rush Opens New Attack Paths as Trusted Cloud Services Fuel Phishing The rush to adopt artificial intelligence is giving attackers two new advantages: convincing lures to trick users and poorly secured infrastructure to exploit. This week, multiple campaigns used fake websites for the Claude AI assistant to infect victims with password-stealing malware, while researchers revealed that commercial robots and AI connection protocols contain critical flaws that let hackers hijack them. Because organizations are deploying AI tools faster than they can secure them, attackers are finding easy entry points into corporate networks. In parallel, phishing campaigns are increasingly hijacking trusted cloud services like Amazon's email platform and Vercel's AI-powered website builder to send messages that bypass security filters entirely. A massive campaign targeting US employees used fake HR reviews to steal login sessions even when multi-factor authentication was enabled, and the breach of the Canvas learning platform exposed data on 275 million people that can now be used for highly convincing follow-up scams. These trends together suggest that traditional defenses are losing effectiveness because attackers are hiding inside the systems we already trust. Organizations should immediately patch the actively exploited Palo Alto Networks and Ivanti vulnerabilities flagged by CISA this week, require phishing-resistant authentication methods, and treat every AI tool and robot connected to their network as a high-risk device that needs strict monitoring.

AI Weaponization and Developer Supply Chain Attacks Redefine the Perimeter Attackers are aggressively targeting the software development process because compromising a single developer tool can unlock thousands of corporate networks. In parallel, artificial intelligence is collapsing the cost of attacks, allowing criminals to build convincing deepfakes and automated phishing campaigns in minutes. As a result, traditional security like multi-factor authentication is increasingly bypassed using tricks that steal active login sessions rather than passwords. These trends together suggest that relying on perimeter defenses and basic hygiene is no longer enough, as attackers hide inside trusted cloud services and legitimate software updates. This matters because organizations are losing visibility into where their sensitive data actually lives, especially as AI tools create hidden pathways into company systems. Defenders must shift their focus to monitoring user behavior after login and securing the automated systems that build their software. Watch for unusual activity in your developer tools and implement stricter checks on third-party software.