IDE extension community
Risk level
medium
50/100

CodeGeeX ↗

CodeGeeX is a community-maintained IDE extension from Zhipu AI. Anomity scores its risk at 50 out of 100 (medium).

filesystem:read filesystem:write network:outbound

Analysis summary

CodeGeeX is a community-maintained IDE extension from Zhipu AI. Anomity scores its risk at 50 out of 100 (medium).

CodeGeeX is a multilingual code generation and completion extension from Zhipu AI, available for VS Code and JetBrains, with strong support for Chinese-language prompts and comments alongside English.

It reads workspace files for context, inserts accepted completions, and sends context to its hosted service, so it declares filesystem read and write with outbound network access. The relevant consideration for most enterprise reviewers is data residency: context is processed by infrastructure in a jurisdiction that may sit outside their approved list, which is a compliance question rather than a code-quality one and is best answered before rollout rather than during an audit.

Why this entry scored 50 out of 100

This profile starts at the catalog's neutral base of 50. Because the entry is community-maintained, trust adjusts the score by -10. Declared high-risk capabilities add +10 (capped at +30). It matches no dangerous capability combinations. The clamped result is 50, placing it in the medium band.

See the full scoring formula →

Findings

  • Established community project Trust offset
    Contribution to score: -10
  • 1 high-risk capability: filesystem:write High
    Contribution to score: +10

Capabilities

Every capability the entry declares, with the security implication of each.

  • filesystem:read Filesystem read
    Can read files on the host system. Used for context, indexing, or analysis.
  • filesystem:write Filesystem write
    Can create, edit, or delete files on the host system. High-impact capability — anything from helpful edits to planting persistence.
  • network:outbound Outbound network
    Can make outbound network requests. Required for hosted model providers and remote APIs; also the path for data exfiltration if combined with read access.