Polarlearn
CVE-2026-25222
HIGH
Severity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Primary rating from GitHub Advisory · only source for this CVE.
CVSS VectorGitHub Advisory
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Lifecycle Timeline
4DescriptionGitHub Advisory
PolarLearn is a free and open-source learning program. In 0-PRERELEASE-15 and earlier, a timing attack vulnerability in the sign-in process allows unauthenticated attackers to determine if a specific email address is registered on the platform. By measuring the response time of the login endpoint, an attacker can distinguish between valid and invalid email addresses. This occurs because the server only performs the computationally expensive Argon2 password hashing if the user exists in the database. Requests for existing users take significantly longer (~650ms) than requests for non-existent users (~160ms).
AnalysisAI
Email enumeration in PolarLearn through timing analysis of the login endpoint allows unauthenticated attackers to identify valid user accounts by observing response time differences between existing and non-existent users. The vulnerability stems from the server only performing expensive password hashing for registered accounts, creating a measurable timing side-channel. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | No special conditions — remote unauthenticated exploitation against PolarLearn 0-PRERELEASE-15 and earlier with default timing-vulnerable authentication endpoint exposed on network. Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | CVSS 7.5 (HIGH). … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | An attacker without authentication could exploit this vulnerability to determine if a specific email address is registered on the platform. |
| Remediation | A vendor patch is available — apply it immediately. … Detailed patch versions, workarounds, and compensating controls in full report. |
Recommended ActionAI
Within 24 hours: Inventory all systems running PolarLearn 0-PRERELEASE-15 or earlier and assess user population exposure. …
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Threat intelligence, references, and detailed analysis are available after sign-in.
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External POC / Exploit Code
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