GHSA-7g73-99r4-m4mj
GHSA-7g73-99r4-m4mj is a Information Exposure vulnerability in flowise. O3 Security confirms whether GHSA-7g73-99r4-m4mj is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.
FlowiseAI Vulnerable to Credential Data Leak
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Real-World Exposure
How broadly this vulnerability is actually deployed: weekly install volume shows current usage, and reverse-dependency count shows how many other packages break if it stays unpatched.
flowisenpmDescription
Severity: HIGH (CVSS ~7.5)
Type: CWE-200 (Exposure of Sensitive Information)
File: packages/server/src/services/credentials/index.ts:62-71
Description: When credentials are fetched with a credentialName filter parameter, the encryptedData field is NOT stripped from the response. The code properly omits encryptedData when NO filter is used (line 102) but fails to do so when a filter IS used (lines 62-63, 70-71).
Credential Data Leak
Evidence:
// Lines 62-63: WITH filter - encryptedData LEAKED
const credentials = await appServer.AppDataSource.getRepository(Credential).findBy(searchOptions)
dbResponse.push(...credentials) // encryptedData NOT removed!
// Lines 100-102: WITHOUT filter - encryptedData properly omitted
for (const credential of credentials) {
dbResponse.push(omit(credential, ['encryptedData'])) // Correctly omitted
}
Impact: Authenticated users can extract encrypted credential data (API keys, passwords, tokens for services like OpenAI, AWS, etc.). Combined with access to the encryption key file (~/.flowise/encryption.key written with default permissions), this enables full credential theft.
Reproduction:
curl https://TARGET/api/v1/credentials?credentialName=openAIApi \
-H "Authorization: Bearer API_KEY"
# Response includes encryptedData field with AES-encrypted credentials
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 📦npm | flowise | all versions | 3.1.2 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for flowise. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
Update flowise to 3.1.2 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-7g73-99r4-m4mj is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 pinpoints whether GHSA-7g73-99r4-m4mj is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-7g73-99r4-m4mj. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-7g73-99r4-m4mj in your dependencies?
O3 detects GHSA-7g73-99r4-m4mj across npm dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.