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CVE-2025-10875VulnerabilityPublished

CVE-2025-10875: Salesforce Mulesoft Anypoint Code Builder · Improper Neutralization of Input Used for LLM Prompting

Affects Salesforce Mulesoft Anypoint Code BuilderSource CVE Database V5

0

Not known to be exploited · CVSS 6.5 Medium : upgrade to 1.11.6 when convenient.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
6.5Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 11% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 1.11.6
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 4 Nov 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: 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 2026-10-25.

What to do

Upgrade mulesoft/anypoint-code-builder to 1.11.6.

Affected software

ProductAffectedFixed in
npmmulesoft/anypoint-code-builderpkg:npm/mulesoft/anypoint-code-builderOther threatsAffected
  • <1.11.6
Fixed in
  • 1.11.6

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

AI-suggested

European organizations should immediately upgrade Mulesoft Anypoint Code Builder to version 1.11.6 or later, where the vulnerability is patched. In addition to patching, organizations should implement strict input validation and sanitization policies on any data fed into LLM prompts within development tools. Employing runtime monitoring and anomaly detection to identify unusual code generation patterns can help detect exploitation attempts. Restrict network access to the code builder environment using segmentation and firewall rules to limit exposure. Integrate code review and static analysis tools to catch injected malicious code early in the development lifecycle. Educate developers about the risks of untrusted input in AI-assisted coding environments. Finally, maintain an inventory of all development tools using LLMs and monitor vendor advisories for emerging threats related to AI prompt injection.

Description

Improper Neutralization of Input Used for LLM Prompting vulnerability in Salesforce Mulesoft Anypoint Code Builder allows Code Injection.This issue affects Mulesoft Anypoint Code Builder: before 1.11.6.

References

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