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PatchSiren cyber security CVE debrief

CVE-2026-82535 chamilo CVE debrief

CVE-2026-82535 is a stored cross-site scripting vulnerability in Chamilo LMS before 1.11.42 and 3.0.0. Unauthenticated attackers can inject malicious script payloads into survey answers, which are then rendered in reporting views, potentially executing arbitrary scripts in the browser sessions of teachers or administrators. This vulnerability allows attackers to bypass authorization checks in the survey submission endpoint by computing deterministic invitation codes. The vulnerability can lead to persistent backdoor account creation by exploiting the victim's authenticated session.

Vendor
chamilo
Product
chamilo-lms
CVSS
MEDIUM 5.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-11
Original CVE updated
2026-09-11
Advisory published
2026-09-11
Advisory updated
2026-09-11

Who should care

Defenders responsible for Chamilo LMS deployments, particularly those using survey features, should assess exposure and verify the effectiveness of current security controls. They should also review compensating controls for exposed systems and monitor reporting views for suspicious activity. Additionally, they should prioritize verifying exposure of Chamilo LMS survey features, especially in reporting views, and assess the effectiveness of current input

Why it matters

CVE-2026-82535 is a stored cross-site scripting vulnerability in Chamilo LMS that allows unauthenticated attackers to inject malicious script payloads into survey answers. Defenders should prioritize verifying exposure, assessing security controls, and monitoring for suspicious activity.

  • Potential for arbitrary script execution in teacher or administrator browser sessions
  • Risk of persistent backdoor account creation via exploited victim sessions
  • Need for verification of input validation and output encoding controls
  • Importance of monitoring reporting views for suspicious activity

Technical summary

The vulnerability allows unauthenticated attackers to inject malicious script payloads into survey answers, which are then rendered in reporting views. This can lead to arbitrary script execution in the browser sessions of teachers or administrators. The vulnerability is caused by a lack of proper input validation and output encoding in the survey submission endpoint. Attackers can submit crafted answers containing unescaped HTML to execute arbitrary scripts. The vulnerability affects Chamilo LMS before 1.11.42 and 3.0.0.

Defensive priority

Defenders should prioritize verifying exposure of Chamilo LMS survey features, especially in reporting views, and assess the effectiveness of current input validation and output encoding controls.

Recommended defensive actions

  • Verify Chamilo LMS version and apply patches if necessary
  • Review survey feature configurations and input validation controls
  • Monitor reporting views for suspicious activity
  • Implement additional security measures such as output encoding and Content Security Policy
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its description and affected versions. However, specific details on exploitation or victim impact are not provided, suggesting a need for further verification.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-82535 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-82535

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-82535 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-82535

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.