CVE-2024-1199 (GCVE-0-2024-1199)
Vulnerability from cvelistv5 – Published: 2024-02-03 00:00 – Updated: 2024-08-01 18:33
VLAI
EPSS
VEX
Title
CodeAstro Employee Task Management System attendance-info.php denial of service
Summary
A vulnerability has been found in CodeAstro Employee Task Management System 1.0 and classified as problematic. Affected by this vulnerability is an unknown functionality of the file \employee-tasks-php\attendance-info.php. The manipulation of the argument aten_id leads to denial of service. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. The identifier VDB-252697 was assigned to this vulnerability.
Severity
5.4 (Medium)
5.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-02-06 17:49 UTC
CWE
- CWE-404 - Denial of Service
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.252697 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.252697 | signaturepermissions-required |
| https://docs.qq.com/doc/DYnhIWEdkZXViTXdD | exploit |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| CodeAstro | Employee Task Management System |
Affected:
1.0
|
guessed |
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"tags": [
"signature",
"permissions-required"
],
"url": "https://vuldb.com/?ctiid.252697"
},
{
"tags": [
"exploit"
],
"url": "https://docs.qq.com/doc/DYnhIWEdkZXViTXdD"
}
],
"timeline": [
{
"lang": "en",
"time": "2024-02-02T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2024-02-02T01:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2024-02-02T09:04:15.000Z",
"value": "VulDB entry last update"
}
],
"title": "CodeAstro Employee Task Management System attendance-info.php denial of service"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2024-1199",
"datePublished": "2024-02-03T00:00:06.998Z",
"dateReserved": "2024-02-02T07:59:06.927Z",
"dateUpdated": "2024-08-01T18:33:24.942Z",
"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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