GSD-2022-45152
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A blind Server-Side Request Forgery (SSRF) vulnerability was found in Moodle. This flaw exists due to insufficient validation of user-supplied input in LTI provider library. The library does not utilise Moodle's inbuilt cURL helper, which resulted in a blind SSRF risk. An attacker can send a specially crafted HTTP request and trick the application to initiate requests to arbitrary systems. This vulnerability allows a remote attacker to perform SSRF attacks.
Aliases
Aliases
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"alias": "CVE-2022-45152",
"description": "A blind Server-Side Request Forgery (SSRF) vulnerability was found in Moodle. This flaw exists due to insufficient validation of user-supplied input in LTI provider library. The library does not utilise Moodle\u0027s inbuilt cURL helper, which resulted in a blind SSRF risk. An attacker can send a specially crafted HTTP request and trick the application to initiate requests to arbitrary systems. This vulnerability allows a remote attacker to perform SSRF attacks.",
"id": "GSD-2022-45152"
},
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"remediation": "unknown",
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"details": "A blind Server-Side Request Forgery (SSRF) vulnerability was found in Moodle. This flaw exists due to insufficient validation of user-supplied input in LTI provider library. The library does not utilise Moodle\u0027s inbuilt cURL helper, which resulted in a blind SSRF risk. An attacker can send a specially crafted HTTP request and trick the application to initiate requests to arbitrary systems. This vulnerability allows a remote attacker to perform SSRF attacks.",
"id": "GSD-2022-45152",
"modified": "2023-12-13T01:19:24.824230Z",
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"cwe_ids": [
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],
"date": "2023-02-01",
"description": "A blind Server-Side Request Forgery (SSRF) vulnerability was found in Moodle. This flaw exists due to insufficient validation of user-supplied input in LTI provider library. The library does not utilise Moodle\u0027s inbuilt cURL helper, which resulted in a blind SSRF risk. An attacker can send a specially crafted HTTP request and trick the application to initiate requests to arbitrary systems. This vulnerability allows a remote attacker to perform SSRF attacks.",
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"identifier": "CVE-2022-45152",
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"package_slug": "packagist/moodle/moodle",
"pubdate": "2022-11-25",
"solution": "Upgrade to versions 3.9.18, 3.11.11, 4.0.5 or above.",
"title": "Server-Side Request Forgery (SSRF)",
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"impact": {
"baseMetricV3": {
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 9.1,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
"version": "3.1"
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"lastModifiedDate": "2023-02-01T15:58Z",
"publishedDate": "2022-11-25T19:15Z"
}
}
}
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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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