CVE-2024-11261 (GCVE-0-2024-11261)
Vulnerability from cvelistv5 – Published: 2024-11-15 22:00 – Updated: 2024-11-19 16:24
VLAI
EPSS
VEX
Title
SourceCodester Student Record Management System Number of Students Menu StudentRecordManagementSystem.cpp memory corruption
Summary
A vulnerability, which was classified as critical, was found in SourceCodester Student Record Management System 1.0. Affected is an unknown function of the file StudentRecordManagementSystem.cpp of the component Number of Students Menu. The manipulation leads to memory corruption. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.
Severity
5.3 (Medium)
5.3 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-19 16:24 UTC
CWE
- CWE-119 - Memory Corruption
Assigner
VulDB
CNA
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.284718 | vdb-entry |
| https://vuldb.com/?ctiid.284718 | signaturepermissions-required |
| https://vuldb.com/?submit.443906 | third-party-advisory |
| https://github.com/Hacker0xone/CVE/issues/12 | exploitissue-tracking |
| https://www.sourcecodester.com/ | product |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| SourceCodester | Student Record Management System |
Affected:
1.0
|
|
| sourcecodester | student_record_management_system |
Affected:
1.0
cpe:2.3:a:sourcecodester:student_record_management_system:1.0:*:*:*:*:*:*:* |
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.
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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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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.