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VulnerabilityPublished

CVE-2026-44688: Eclipse Theia · Improper neutralization of input used for LLM prompting

Affects Eclipse TheiaSource CVE Database V5

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Not known to be exploited · CVSS 8.4 High : upgrade to 1.71.0 soon.

Data as of 31 Oct 2026, 20:20 UTC

CVSS 4.0 base score
8.4High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.5% chance of exploitation in 30 days – higher than 43% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 1.71.0
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 18 Jun 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 31 Oct 2026.

What to do

Upgrade Eclipse Theia to 1.71.0.

Affected software

ProductAffectedFixed in
Eclipse FoundationEclipse TheiaAffected
  • <1.71.0
Fixed in
  • 1.71.0
GitHubEclipse Theiapkg:github/Eclipse TheiaOther threatsAffected
  • <1.71.0
Fixed in
  • 1.71.0

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

If you cannot patch yet, users should avoid opening untrusted or malicious repositories in Eclipse Theia versions prior to 1.71.0, especially when using AI chat features.

Description

Eclipse Theia versions prior to 1.71.0 contain a vulnerability where the AI chat agent improperly neutralizes input used for prompting. Specifically, workspace file and directory names are processed as part of the prompt context without differentiation from system instructions. This flaw allows attackers to craft malicious repositories with adversarial file or directory names that can manipulate the AI agent's behavior, potentially leading to data exfiltration or arbitrary command execution.

References

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