Unauthenticated database manipulation via unsanitized URL parameters
Published Oct 21, 2024 · Updated Oct 21, 2024
SQL injection in Learning with Texts (LWT) 2.0.3 allows remote attackers to read, modify, or delete database data via URL parameters. The application incorporates insufficiently sanitized URL-parameter input into SQL queries, allowing injected statements to alter database operations. No authentication or user interaction is required; the published record reports arbitrary command execution among the impacts but does not identify the affected parameter, endpoint, or code locus.
Summary
What happened
SQL injection in Learning with Texts (LWT) 2.0.3 allows remote attackers to read, modify, or delete database data via URL parameters. The application incorporates insufficiently sanitized URL-parameter input into SQL queries, allowing injected statements to alter database operations. No authentication or user interaction is required; the published record reports arbitrary command execution among the impacts but does not identify the affected parameter, endpoint, or code locus.
The record
- CVE
- CVE-2024-48509
- Published
- Oct 21, 2024
- Updated
- Oct 21, 2024
- Vendor
- Learning with Texts
- Product
- Learning with Texts (LWT)
- Classifications
- CWE-89, T1190
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Oct 21, 2024CVE publishedPublication date reported by the CVE source.
- Oct 21, 2024Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
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- Affected versionversion=2.0.3
What conditions does exploitation require?
What is affected?
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.
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Technologies
Your stack
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Your stack
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