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Week 39 · September 21 to September 27, 2026

AI security this week

In week 39 of 2026 (September 21 to September 27, 2026), The Injection tracked 4 AI security stories, 2 of them rated high or critical, including "Claude Desktop for macOS: Cowork files could run commands on open" and "MemTensor MemOS packages compromised with a credential stealer". Most affected: Claude apps (2).

Anthropic
HIGHVulnerability

Top storyHIGH

Claude Desktop for macOS: Cowork files could run commands on open

A file type macOS runs on open was missing from Claude Desktop's blocklist, so agent-written files could execute.

What to do · Make sure managed or manually updated Macs run Claude Desktop 1.15962.0 or later, and treat files an agent writes into Cowork folders as untrusted.

High 2

  1. HIGH

    Vulnerability · Anthropic · CVSS 8.5

    Claude Desktop for macOS: Cowork files could run commands on open

    Claude Desktop for macOS before 1.15962.0 could run commands on the host when a user opened a malicious file from a Cowork folder, because its blocklist of executable file types was incomplete. Anthropic rated it CVSS 4.0 8.5.

  2. HIGH

    Supply chain · Socket

    MemTensor MemOS packages compromised with a credential stealer

    Malicious releases of MemTensor's MemOS packages on npm and PyPI shipped sckit, a Go credential stealer that runs on import and sends npm, PyPI, GitHub, cloud and SSH secrets to skyleen[.]fr. Safe versions: npm 0.1.20, PyPI 2.0.33.

Medium 2

  1. MED

    Attack · Zenity Labs

    SalesBleed: zero-click CRM data theft through Salesforce Agentforce

    SalesBleed is a Zenity Labs attack in which one web form lead carrying a prompt injection made Salesforce Agentforce leak Accounts data through DNS with zero clicks. Salesforce hardened its Trusted URLs filter in August 2026.

  2. MED

    Attack · AIR Security

    Anthropic skill scanner bypassed: malicious skills marked safe

    AIR Security researchers say Anthropic's skill and plugin scanner for Claude organization skills marked malicious skills as safe, using look-alike domains, an unclaimed PyPI dependency and an obfuscated binary.