Database disclosure via injectable id parameter
Published Apr 18, 2022 · Updated Aug 3, 2024
Time-based blind SQL injection in Automatic Question Paper Generator 1.0 allows remote attackers to query its database via the id parameter. Public records identify the id GET parameter but do not disclose the receiving endpoint or the SQL construction that incorporates it without safe parameterization. No authentication or user interaction is required, and database values can be inferred from response delays rather than returned directly.
Summary
What happened
Time-based blind SQL injection in Automatic Question Paper Generator 1.0 allows remote attackers to query its database via the id parameter. Public records identify the id GET parameter but do not disclose the receiving endpoint or the SQL construction that incorporates it without safe parameterization. No authentication or user interaction is required, and database values can be inferred from response delays rather than returned directly.
The record
- CVE
- CVE-2022-26631
- Published
- Apr 18, 2022
- Updated
- Aug 3, 2024
- Vendor
- Unknown vendor
- Product
- Unknown product
- Classifications
- CWE-89, T1190
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Apr 18, 2022CVE publishedPublication date reported by the CVE source.
- Aug 3, 2024Record 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.
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