Resumo de código malicioso de xuño

Resumo mensual de Malicious Code Digest: xullo

Welcome to the July edition of the Xygeni Malicious Code Digest. This month, our security research team confirmed over 780 malicious packages across npm, PyPI, and OpenVSX (the VS Code extension marketplace), tracked across five weekly digests.

July was defined by three converging trends: sustained, high-volume version-flooding campaigns designed to outlast takedowns; a sharp escalation in attacks targeting AI tooling, MCP servers, and agentic workflows; and coordinated dependency-confusion campaigns against both enterprise namespaces and crypto/DeFi ecosystems.

Entre as campañas máis destacadas documentadas este mes:

  • bingo-ai on PyPI resurfaced twice, flooding the registry with well over 150 versions across two bursts (July 13 and July 21), confirming this is an ongoing operation, not a one-off.
  • zevairouter became July’s largest single-package campaign: over 65 versions across npm, published continuously from July 25–28.
  • gcli-control, the Windows RAT we profiled in detail that routes its C2 through npoint.io, escalated from version 0.1.0 to 0.13.0 across three separate weeks.
  • @szc-ft/mcp-szcd-client, the package behind SkillLeak, our writeup on a credential decryptor delivered through a bundled MCP skill, was confirmed July 2.
  • The week of July 7 brought the month’s heaviest AI-tooling targeting: mcp-server-pg, anthropic-toolkit, openai-agents-helpers, ollama-helperse @langgraphjs/toolkit, impersonating MCP, Anthropic, OpenAI, Ollama, and LangGraph.
  • A 17-package PayPal impersonation cluster hit npm July 27, all at version 28.0.0 within minutes.
  • @wagni_bot, roughly 60 npm packages impersonating crypto wallet SDKs (Ethereum, Solana, Binance, and more), all published in a single day, July 10.
  • Over a dozen fake VS Code extensions surfaced on OpenVSX, confirming attackers are expanding beyond package registries into the IDE itself.

The defining pattern of July: attacks increasingly target the AI agents and automated tooling that install packages with no human reviewer in the loop, at a publishing velocity built to outrun manual review.

Below is a summary of what we found. You can see all five weeks’ data disclosed in full detail at the Malicious Code Digest index.

Semana 5: Máis de 180 paquetes descubertos

Ecosystem Paquete Confirmado
npm@cryptosrvc/shift-sdk-v4:1.0.77Xullo 24, 2026
openvsxcesium/gltf-vscode:0.0.1Xullo 24, 2026
pypicontrol-gcli:0.13.0Xullo 24, 2026
vscodeairtune:1.0.0Xullo 25, 2026
npmzevairouter:1.0.109Xullo 25, 2026
npmidentityauthorizationserv:28.0.0Xullo 27, 2026
npmmerchantprefsservice-paypal:28.0.0Xullo 27, 2026
npmxo-member-components:28.0.0Xullo 27, 2026
openvsxtechnosophos/vscode-helm:0.0.1Xullo 27, 2026
openvsxbastienboutonnet/vscode-dbt:0.0.1Xullo 27, 2026
npmmarkscan:1.0.0Xullo 28, 2026
npmiphouse:1.0.0Xullo 28, 2026
npmakrai-report-new:1.0.0Xullo 28, 2026
pypivtranalytic:8.0.0Xullo 28, 2026
npmgreatcall-customers-commandapi:99.0.0Xullo 29, 2026
npmblots:2.1.1Xullo 29, 2026
npm@ey-china/ey-assistant:1.0.1Xullo 30, 2026
npmflydev:0.0.1Xullo 30, 2026
npm@qtestorgz/sdk:1.0.0Xullo 30, 2026

Semana 4: Máis de 165 paquetes descubertos

Ecosystem Paquete Confirmado
npmjavas-crypto:2.0.4Xullo 17, 2026
npmclover-codelab-remote-payment-cloud:99.9.9Xullo 17, 2026
npmfinanzas posteriores: 99.0.0Xullo 19, 2026
npmtwilio-sen servidor: 99.99.99Xullo 21, 2026
npmcentro de subministración: 1.0.1Xullo 21, 2026
npm@offa/offa-uwk:999.0.0Xullo 21, 2026
npmutilidades-de-formato-de-data-xz:1.0.1Xullo 21, 2026
pypibingo-ai:6.2.241Xullo 21, 2026
npm@bpa-internal/bpa-utils:99.99.99Xullo 22, 2026
npmn8n-nodes-pwn:1.0.1Xullo 22, 2026
pypicontrol-gcli:0.1.0Xullo 22, 2026
npmuniswap-sdk-v4:1.0.0Xullo 23, 2026
npmwagmi-react:1.0.0Xullo 23, 2026
npmethers-seguro:1.0.0Xullo 23, 2026
pypicontrol-gcli:0.12.0Xullo 24, 2026
npmdatefmt-pro:1.0.1Xullo 24, 2026
npm@daylightqc/date-fmt-lite:1.0.0Xullo 24, 2026

Semana 3: Máis de 145 paquetes descubertos

Ecosystem Paquete Confirmado
npmenv-fast:1.0.0Xullo 11, 2026
pypilúa-uv:0.0.25Xullo 12, 2026
npmgoogle-caja-bower:1000.800.20Xullo 13, 2026
npmpaquete-vuln:99.9.14Xullo 13, 2026
pypibingo-ai:6.2.109Xullo 13, 2026
npmerroexploit:99.9.9Xullo 13, 2026
npmpaquete-core-amdocs:11.11.11Xullo 14, 2026
npmkit de arbitraxe:1.0.0Xullo 14, 2026
npmsolana-key-utils:1.0.0Xullo 14, 2026
npmaxios-test-one:1.18.9Xullo 15, 2026
pypiplungerhacker:2.0.1Xullo 15, 2026
pypilog-guru:0.7.8Xullo 16, 2026
pypipylogora:0.7.8Xullo 16, 2026
npm@across-toolkit/eslint-config:99.0.0Xullo 17, 2026
npmvalidpilot-mcp:1.4.0Xullo 17, 2026
npmnyxora:26.7.17Xullo 17, 2026

Semana 2: Máis de 200 paquetes descubertos

Ecosystem Paquete Confirmado
pypiprocwire:5.2.7Xullo 4, 2026
npmterminal de neón:0.3.0Xullo 4, 2026
npmaxente sen límite: 1.0.336Xullo 6, 2026
vscodemarco-de-soporte-de-android-vs:0.0.1Xullo 6, 2026
npmmcp-server-pg:1.0.0Xullo 7, 2026
npmconxunto de ferramentas antrópicas:1.3.1Xullo 7, 2026
npmaxudantes-de-axentes-de-apertura:1.3.3Xullo 7, 2026
npmdebugcli:4.4.1Xullo 7, 2026
npmola244a:1.0.38Xullo 7, 2026
npmthunder-rony:99.9.9Xullo 8, 2026
pypilúa-uv:0.0.5Xullo 9, 2026
npmes6-codify:2.0.0Xullo 9, 2026
npmn8n-nodes-mcputils:0.1.4Xullo 9, 2026
npm@wagni_bot/hyperliquid-sdk:1.0.0Xullo 10, 2026
npm@wagni_bot/metemask-sdk:1.0.0Xullo 10, 2026
npm@wagni_bot/pumpfun-sdk:1.0.0Xullo 10, 2026
npm@wagni_bot/binance-sdk:1.0.0Xullo 10, 2026
npm@wagni_bot/ethereum-wallet:1.0.0Xullo 10, 2026
npmprobas-d3do:99.9.9Xullo 10, 2026
npmaxente-de-cookies-do-cliente:99.9.6Xullo 10, 2026

Semana 1: Máis de 90 paquetes descubertos

Ecosystem Paquete Confirmado
npmmódulos malditos:999.1.2Xullo 1, 2026
npm@szc-ft/mcp-szcd-client:0.39.0Xullo 2, 2026
npmpp-react-v5:30.0.2Xullo 1, 2026
npmconstelación:0.5.1Xullo 1, 2026
npmdate-fns-lite:1.0.9Xullo 2, 2026
npm@pagofacil/medusa-paypal:0.7.6Xullo 2, 2026
npmdl-pp-latm:80.4.2Xullo 2, 2026
npm@sudoughnym/enviro-demo:99.99.99Xullo 1, 2026
npmaxente sen límite: 1.0.316Xullo 2, 2026
npmmaldito-ecto-d3ab00:1.0.0Xullo 3, 2026
npm@checkrhq/adjudication-api-client:0.0.2Xullo 3, 2026

From Version Storms to AI Impersonation: What July’s Supply Chain Attacks Reveal

The campaigns above aren’t edge cases, they’re the baseline now. Version-flooding storms, coordinated impersonation drops, and AI-tooling lookalikes are hitting real teams in real SDLCs every week, often with no human in the loop between publication and install.

Xygeni's detección de software malicioso supply chain security platform gives organizations the visibility to catch malicious dependencies before they execute on a developer machine, enter a build system, or reach production. Coverage spans npm, PyPI, OpenVSX, and beyond, monitoring for suspicious publishing patterns, namespace abuse, typosquatting, and AI-native attack techniques as they emerge.

Cada achado priorízase automaticamente segundo a súa capacidade de explotación, accesibilidade e impacto empresarial, polo que o teu equipo se centra no que realmente precisa arranxo, non no ruído.

Explora todos os paquetes e campañas maliciosos validados polo equipo de seguridade de Xygeni no Resumo de código malicioso.

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