CVE-2024-0782 (GCVE-0-2024-0782)
Vulnerability from cvelistv5 – Published: 2024-01-22 16:31 – Updated: 2024-10-21 10:53
VLAI
EPSS
VEX
Title
CodeAstro Online Railway Reservation System pass-profile.php cross site scripting
Summary
A vulnerability has been found in CodeAstro Online Railway Reservation System 1.0 and classified as problematic. This vulnerability affects unknown code of the file pass-profile.php. The manipulation of the argument First Name/Last Name/User Name leads to cross site scripting. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used. VDB-251698 is the identifier assigned to this vulnerability.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-01-23 16:30 UTC
CWE
- CWE-79 - Cross Site Scripting
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.251698 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.251698 | signaturepermissions-required |
| https://drive.google.com/drive/folders/1ecVTReqCS… | exploit |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| CodeAstro | Online Railway Reservation System |
Affected:
1.0
|
guessed |
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"timeline": [
{
"lang": "en",
"time": "2024-01-22T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2024-01-22T01:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2024-01-22T12:13:27.000Z",
"value": "VulDB entry last update"
}
],
"title": "CodeAstro Online Railway Reservation System pass-profile.php cross site scripting"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2024-0782",
"datePublished": "2024-01-22T16:31:03.890Z",
"dateReserved": "2024-01-22T11:08:21.178Z",
"dateUpdated": "2024-10-21T10:53:03.506Z",
"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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