CVE-2023-53972 (GCVE-0-2023-53972)
Vulnerability from cvelistv5 – Published: 2025-12-22 21:35 – Updated: 2026-04-07 14:08
VLAI
EPSS
VEX
Title
WebTareas 2.4 Unauthenticated SQL Injection via Session Cookie Parameter
Summary
WebTareas 2.4 contains a SQL injection vulnerability in the webTareasSID cookie parameter that allows unauthenticated attackers to manipulate database queries. Attackers can exploit error-based and time-based blind SQL injection techniques to extract database information and potentially access sensitive system data.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-22 21:58 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://www.exploit-db.com/exploits/51087 | exploit |
| https://sourceforge.net/projects/webtareas/ | product |
| https://www.vulncheck.com/advisories/webtareas-un… | third-party-advisory |
Impacted products
Date Public
2023-03-27 00:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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