Database disclosure via qsoresults blind SQL injection
Published Dec 26, 2025 · Updated Dec 26, 2025
Time-based blind SQL injection in Cloudlog 2.6.15 allows remote attackers to infer database contents through the qsoresults parameter. The logbookadvanced search endpoint incorporates qsoresults input into a database query without adequately neutralizing SQL control elements. No authentication or user interaction is required; repeated conditional delays expose database values through response timing.
Summary
What happened
Time-based blind SQL injection in Cloudlog 2.6.15 allows remote attackers to infer database contents through the qsoresults parameter. The logbookadvanced search endpoint incorporates qsoresults input into a database query without adequately neutralizing SQL control elements. No authentication or user interaction is required; repeated conditional delays expose database values through response timing.
The record
- CVE
- CVE-2024-44065
- Published
- Dec 26, 2025
- Updated
- Dec 26, 2025
- Vendor
- Unknown vendor
- Product
- Unknown product
- Classifications
- CWE-89, T1190
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Dec 26, 2025CVE publishedPublication date reported by the CVE source.
- Dec 26, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
Compare your product and version with the public record. A matching version still requires validation against your environment.
Is a vulnerable build present?
What conditions does exploitation require?
What is affected?
Affected products and versions are unavailable in this record.
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
No public exploit references are available in this record.
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
See the directory against your own environment.
Your stack
Check the software in your environment
Book a demo to see how Hinoki identifies affected software and validates exploitability in your environment.
Book a demo