CVE-2024-45592 (GCVE-0-2024-45592)
Vulnerability from cvelistv5 – Published: 2024-09-10 16:00 – Updated: 2024-09-20 18:10
VLAI
EPSS
VEX
Title
auditor-bundle vulnerable to Cross-site Scripting because name of entity does not get escaped
Summary
auditor-bundle, formerly known as DoctrineAuditBundle, integrates auditor library into any Symfony 3.4+ application. Prior to version 5.2.6, there is an unescaped entity property enabling Javascript injection. This is possible because `%source_label%` in twig macro is not escaped. Therefore script tags can be inserted and are executed. The vulnerability is fixed in versions 6.0.0 and 5.2.6.
Severity
8.2 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-10 19:19 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/DamienHarper/auditor-bundle/se… | x_refsource_CONFIRM |
| https://github.com/DamienHarper/auditor-bundle/co… | x_refsource_MISC |
| https://github.com/DamienHarper/auditor-bundle/co… | x_refsource_MISC |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| DamienHarper | auditor-bundle |
Affected:
< 5.2.6
|
guessed | |
| damienharper | auditor-bundle |
Affected:
0 , < 5.2.6
(custom)
cpe:2.3:a:damienharper:auditor-bundle:*:*:*:*:*:*:*:* |
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"value": "auditor-bundle, anteriormente conocido como DoctrineAuditBundle, integra la librer\u00eda auditor en cualquier aplicaci\u00f3n Symfony 3.4+. Antes de la versi\u00f3n 6.0.0, hab\u00eda una propiedad de entidad sin escape que permit\u00eda la inyecci\u00f3n de Javascript. Esto es posible porque %source_label% en la macro twig no est\u00e1 escapada. Por lo tanto, las etiquetas de script se pueden insertar y ejecutar. La vulnerabilidad se solucion\u00f3 en la versi\u00f3n 6.0.0."
}
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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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