PatchSiren cyber security CVE debrief
CVE-2026-102923 CodeWithCJ CVE debrief
CVE-2026-102923: SparkyFitness SSRF via unvalidated custom_url in AI service settings. This issue allows an authenticated user to send server-side POST requests with a controlled bearer value, probe internal services, and disclose the AI system. The vulnerability is caused by a lack of validation in the custom AI service settings, which enables an attacker to trigger an outbound request. Fixed in version 1.6.0. The issue has a medium severity and defenders should prioritize verifying exposure of SparkyFitness instances, especially those with custom AI service settings.
- Vendor
- CodeWithCJ
- Product
- SparkyFitness
- CVSS
- MEDIUM 5.4
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-10-16
- Original CVE updated
- 2026-10-16
- Advisory published
- 2026-10-16
- Advisory updated
- 2026-10-16
Who should care
Defenders responsible for SparkyFitness instances, especially those with custom AI service settings, should assess exposure and prioritize remediation. This includes verifying the exposure of instances, upgrading to version 1.6.0 or later, and monitoring for suspicious outbound requests. Additionally, defenders should review compensating controls for exposed systems and track exceptions, retest remediated assets, and close the item only after evidence is
Why it matters
CVE-2026-102923 is a medium-severity SSRF vulnerability in SparkyFitness that allows authenticated users to send server-side POST requests with a controlled bearer value. Defenders should prioritize verifying exposure of SparkyFitness instances, especially those with custom AI service settings, and upgrade to version 1.6.0 or later.
- Potential disclosure of AI system information.
- Possible probing of internal services.
- Risk of unauthorized server-side requests.
Technical summary
The SparkyFitness server does not validate destinations supplied in custom AI service settings, allowing an authenticated user to send server-side POST requests with a controlled bearer value, probe internal services, and disclose the AI system. This vulnerability is a medium-severity SSRF issue that can be exploited by an attacker to gain unauthorized access to internal services. The issue is fixed in version 1.6.0 and defenders should prioritize verifying exposure of SparkyFitness instances, especially those with custom AI service settings.
Defensive priority
Defenders should prioritize verifying exposure of SparkyFitness instances, especially those with custom AI service settings, and upgrade to version 1.6.0 or later.
Recommended defensive actions
- Verify SparkyFitness instances for exposure, especially those with custom AI service settings.
- Upgrade to version 1.6.0 or later.
- Monitor for suspicious outbound requests from SparkyFitness instances.
- 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 source item provide details on the SSRF vulnerability in SparkyFitness. The issue is fixed in version 1.6.0. However, the corpus does not provide information on exploitation or impact.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-102923 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-102923
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-102923 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-102923
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
SparkyFitness: SSRF via unvalidated custom_url in AI service settings
Unverified legacy reference
URL: https://raw.githubusercontent.com/CVEProject/cvelistV5/main/cves/2026/102xxx/CVE-2026-102923.json
cve_program_cvelist_v5
-
Source reference
Unverified legacy reference
URL: https://github.com/CodeWithCJ/SparkyFitness/security/advisories/GHSA-rmxj-43xh-mcm3
Supplemental source - x_refsource_CONFIRM
-
Source reference
Unverified legacy reference
URL: https://github.com/CodeWithCJ/SparkyFitness/commit/0b43a37003a3fbedf4e38058130460fd4707fe29
Supplemental source - x_refsource_MISC
-
Source reference
Unverified legacy reference
URL: https://github.com/CodeWithCJ/SparkyFitness/releases/tag/v1.6.0
Supplemental source - x_refsource_MISC
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.