CVE-2024-7080 (GCVE-0-2024-7080)
Vulnerability from cvelistv5 – Published: 2024-07-24 20:00 – Updated: 2024-08-01 21:52
VLAI
EPSS
VEX
Title
SourceCodester Insurance Management System direct request
Summary
A vulnerability was found in SourceCodester Insurance Management System 1.0. It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the file /E-Insurance/. The manipulation leads to direct request. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. The identifier VDB-272365 was assigned to this vulnerability.
Severity
5.3 (Medium)
5.3 (Medium)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-25 13:17 UTC
CWE
- CWE-425 - Direct Request
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.272365 | vdb-entry |
| https://vuldb.com/?ctiid.272365 | signaturepermissions-required |
| https://vuldb.com/?submit.379487 | third-party-advisory |
| https://github.com/Xu-Mingming/cve/blob/main/bianli.md | exploit |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SourceCodester | Insurance Management System |
Affected:
1.0
|
guessed | |
| insurance_management_system_project | insurance_management_system |
Affected:
1.0
cpe:2.3:a:insurance_management_system_project:insurance_management_system:1.0:*:*:*:*:*:*:* |
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{
"name": "Submit #379487 | sourcecodester Insurance Management System v1.0 directory traversal",
"tags": [
"third-party-advisory"
],
"url": "https://vuldb.com/?submit.379487"
},
{
"tags": [
"exploit"
],
"url": "https://github.com/Xu-Mingming/cve/blob/main/bianli.md"
}
],
"timeline": [
{
"lang": "en",
"time": "2024-07-24T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2024-07-24T02:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2024-07-24T16:57:05.000Z",
"value": "VulDB entry last update"
}
],
"title": "SourceCodester Insurance Management System direct request"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2024-7080",
"datePublished": "2024-07-24T20:00:05.270Z",
"dateReserved": "2024-07-24T14:51:39.011Z",
"dateUpdated": "2024-08-01T21:52:30.657Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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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.
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