Credential inference via nonconstant-time password comparison
Published Jul 7, 2025 · Updated Jul 7, 2025
Timing attack in ParisNeo LoLLMS before 20.1 allows remote attackers to infer usernames and passwords through login response times. The authenticate_user function in lollms_authentication.py compares attacker-supplied password text with stored credentials using ordinary string equality, which exits at the first mismatch and exposes matching-prefix length through execution time. The login interface is reachable without authentication; successful inference discloses credentials, while no integrity or availability impact is reported.
Summary
What happened
Timing attack in ParisNeo LoLLMS before 20.1 allows remote attackers to infer usernames and passwords through login response times. The authenticate_user function in lollms_authentication.py compares attacker-supplied password text with stored credentials using ordinary string equality, which exits at the first mismatch and exposes matching-prefix length through execution time. The login interface is reachable without authentication; successful inference discloses credentials, while no integrity or availability impact is reported.
The record
- CVE
- CVE-2025-6386
- Published
- Jul 7, 2025
- Updated
- Jul 7, 2025
- Vendor
- ParisNeo
- Product
- LoLLMS
- Classifications
- CWE-203, CAPEC-189, T1110.001
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Jul 7, 2025CVE publishedPublication date reported by the CVE source.
- Jul 7, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=unspecified <20.1
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
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Technologies
Your stack
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Your stack
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