PatchSiren cyber security CVE debrief
CVE-2026-55537 MervinPraison CVE debrief
CVE-2026-55537 is a HIGH severity vulnerability in PraisonAI, a multi-agent teams system, with a CVSS score of 7.1. The vulnerability exists in the JobSubmitRequest.validate_webhook_url() method, which accepts webhook URLs even when DNS resolution raises a socket.gaierror exception. This allows an attacker to potentially direct requests to an internal service. The issue is fixed in version 4.6.58.
- Vendor
- MervinPraison
- Product
- PraisonAI
- CVSS
- HIGH 7.1
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-08-25
- Original CVE updated
- 2026-09-09
- Advisory published
- 2026-08-25
- Advisory updated
- 2026-09-09
Who should care
Defenders of PraisonAI systems, especially those using versions prior to 4.6.58, should assess the potential impact of this vulnerability on their systems and prioritize verification of exposure.
Why it matters
CVE-2026-55537 is a HIGH severity vulnerability in PraisonAI that allows potential redirection of requests to internal services. Defenders should verify system exposure and prioritize updates to version 4.6.58 or later.
- Potential redirection of requests to internal services
- Verification of PraisonAI system exposure
- Update to version 4.6.58 or later
Technical summary
The vulnerability exists in the JobSubmitRequest.validate_webhook_url() method of PraisonAI, which accepts webhook URLs even when DNS resolution raises a socket.gaierror exception. This allows an attacker to potentially direct requests to an internal service. The issue is fixed in version 4.6.58. Affected PraisonAI deployments should verify exposure and prioritize updates to version 4.6.58 or later. Defenders should assess the potential impact of this vulnerability on their systems, especially those using versions prior to 4.6.58.
Defensive priority
Defenders should prioritize verifying exposure of PraisonAI systems, especially those using versions prior to 4.6.58, and assess the potential impact of this vulnerability on their systems.
Recommended defensive actions
- Verify PraisonAI system exposure and assess potential impact
- Update PraisonAI to version 4.6.58 or later
- Monitor system logs for potential exploitation attempts
- 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
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
Evidence notes
The CVE record and NVD entry provide details on the vulnerability, including its description, CVSS score, and affected versions. However, the scope of affected systems and potential exploitation are not explicitly stated.
Sources and references
Verified primary and authoritative sources
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CVE-2026-55537 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-55537
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-55537 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-55537
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://github.com/MervinPraison/PraisonAI/commit/2f9677abb2ea68eab864ee8b6a828fd0141612e1
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Source reference
Unverified legacy reference
URL: https://github.com/MervinPraison/PraisonAI/releases/tag/v4.6.58
-
Source reference
Unverified legacy reference
URL: https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-rg5q-pp8p-f7jm
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.