SparkyFitness: SSRF via unvalidated custom_url in AI service settings
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SparkyFitness is a self-hosted, AI-powered health and fitness tracker for families. Prior to 1.6.0, SparkyFitnessServer/services/chatService.ts and SparkyFitnessServer/services/labelScanService.ts do not validate destinations supplied in custom AI service settings. An authenticated user saves a custom AI service URL and invokes an affected AI flow. The user can save a custom AI service URL and trigger an outbound request. Successful exploitation can send server-side POST requests with a controlled bearer value, probe internal services, and disclose the AI system prompt. This issue is fixed in version 1.6.0.
Our own answer: ranges merged, affected separated from platform-only, with confidence and review flags.
No remediation guidance has been written for this CVE yet, and no fixed version or vendor advisory is recorded against it.
SSVC signals action urgency (what to patch first), separate from CVSS which measures severity.
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