PatchSiren cyber security CVE debrief
CVE-2026-34203 nautobot CVE debrief
CVE-2026-34203 is a low-severity vulnerability in Nautobot, a Network Source of Truth and Network Automation Platform. The issue arises from inadequate password validation when creating or editing users via the REST API. By default, Nautobot relies on Django's AUTH_PASSWORD_VALIDATORS setting, which is an empty list, meaning no specific password rules are enforced. However, organizations can configure custom rules in nautobot_config.py. This weakness might allow users to set passwords that do not meet desired security standards. The vulnerability has been patched in Nautobot versions 2.4.30 and 3.0.10.
- Vendor
- nautobot
- Product
- Unknown
- CVSS
- LOW 2.7
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-03-31
- Original CVE updated
- 2026-07-24
- Advisory published
- 2026-03-31
- Advisory updated
- 2026-07-24
Who should care
System administrators and security teams responsible for Nautobot installations should be aware of this vulnerability. Although rated low-severity, it could potentially lead to security issues if left unaddressed, especially in environments where password policies are crucial.
Technical summary
The vulnerability in Nautobot's REST API for user creation and editing fails to apply password validation rules defined by Django's AUTH_PASSWORD_VALIDATORS setting. This setting is typically empty by default, meaning no specific password validation rules are enforced. The issue has been addressed in versions 2.4.30 and 3.0.10 of Nautobot. The CVSS score for this vulnerability is 2.7, indicating a low severity level.
Defensive priority
Low priority, but recommended to address to ensure proper password management
Recommended defensive actions
- Update Nautobot to version 2.4.30 or 3.0.10
- Review and implement password validation rules in nautobot_config.py if not already done
- Monitor user account creation and modification activities
- Enforce strong password policies for Nautobot users
- 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 was published on 2026-03-31T20:16:28.360Z and last modified on 2026-07-24T20:10:00.147Z. The NVD entry is currently Analyzed. Evidence is limited to public CVE and NVD information. Defenders should verify Nautobot versions, user creation processes, and existing password policies. Additional evidence may be needed to fully assess exposure.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-34203 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-34203
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2026-34203 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-34203
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Mitigation or vendor reference
Unverified legacy reference
URL: https://github.com/nautobot/nautobot/commit/589f7caf54124ad76bc9fcbb7bdcaa25627cd598
[email protected] - Patch
-
Mitigation or vendor reference
Unverified legacy reference
URL: https://github.com/nautobot/nautobot/commit/d1ef3135aa02fa07de061e8c085f8cce425fe8c9
[email protected] - Patch
-
Mitigation or vendor reference
Unverified legacy reference
URL: https://github.com/nautobot/nautobot/pull/8778
[email protected] - Issue Tracking, Patch
-
Mitigation or vendor reference
Unverified legacy reference
URL: https://github.com/nautobot/nautobot/pull/8779
[email protected] - Issue Tracking, Patch
-
Mitigation or vendor reference
Unverified legacy reference
URL: https://github.com/nautobot/nautobot/security/advisories/GHSA-xmpv-j7p2-j873
[email protected] - Mitigation, Patch, Vendor Advisory
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.