GSD-2022-25813
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
In Apache OFBiz, versions 18.12.05 and earlier, an attacker acting as an anonymous user of the ecommerce plugin, can insert a malicious content in a message “Subject” field from the "Contact us" page. Then a party manager needs to list the communications in the party component to activate the SSTI. A RCE is then possible.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-25813",
"description": "In Apache OFBiz, versions 18.12.05 and earlier, an attacker acting as an anonymous user of the ecommerce plugin, can insert a malicious content in a message \u201cSubject\u201d field from the \"Contact us\" page. Then a party manager needs to list the communications in the party component to activate the SSTI. A RCE is then possible.",
"id": "GSD-2022-25813"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"id": "GSD-2022-25813",
"modified": "2023-12-13T01:19:27.643624Z",
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}
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"TITLE": "Server-Side Template Injection affecting the ecommerce plugin of Apache OFBiz"
},
"affects": {
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"version": {
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}
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},
"vendor_name": "Apache Software Foundation"
}
]
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"credit": [
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"value": " Matei \"Mal\" Badanoiu"
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}
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"name": "[oss-security] 20220902 Apache OFBiz - Server-Side Template Injection (CVE-2022-25813)",
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"source": {
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"impact": {
"baseMetricV3": {
"cvssV3": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2022-09-07T20:58Z",
"publishedDate": "2022-09-02T07:15Z"
}
}
}
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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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