FKIE_CVE-2026-102588
Vulnerability from fkie_nvd - Published: 2026-09-30 09:17 - Updated: 2026-10-01 15:51
Severity
Summary
A flaw was found in Moodle. The XML grade import feature lacks proper Cross-Site Request Forgery (CSRF) token validation. By tricking an authenticated user with grade management permissions into visiting a malicious webpage, an attacker can trigger unauthorized requests on the victim's behalf. This flaw allows a remote attacker to set or overwrite student grades without authorization.
References
| URL | Tags | ||
|---|---|---|---|
| patrick@puiterwijk.org | http://git.moodle.org/gw?p=moodle.git&a=search&h=HEAD&st=commit&s=MDL-84545 | Patch | |
| patrick@puiterwijk.org | https://access.redhat.com/security/cve/CVE-2026-102588 | Third Party Advisory | |
| patrick@puiterwijk.org | https://bugzilla.redhat.com/show_bug.cgi?id=2543643 | Issue Tracking, Third Party Advisory | |
| patrick@puiterwijk.org | https://moodle.org/mod/forum/discuss.php?d=482507 | Vendor Advisory |
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://git.moodle.org",
"defaultStatus": "unaffected",
"packageName": "moodle",
"versions": [
{
"lessThan": "5.2.2",
"status": "affected",
"version": "5.2.0",
"versionType": "semver"
},
{
"lessThan": "5.1.6",
"status": "affected",
"version": "5.1.0",
"versionType": "semver"
},
{
"lessThan": "5.0.9",
"status": "affected",
"version": "5.0.0",
"versionType": "semver"
},
{
"lessThan": "4.5.13",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "patrick@puiterwijk.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:moodle:moodle:*:*:*:*:*:*:*:*",
"matchCriteriaId": "99FF93A9-D754-4DE4-8D1B-B4C324CDA91A",
"versionEndExcluding": "4.5.13",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:moodle:moodle:*:*:*:*:*:*:*:*",
"matchCriteriaId": "11BA4A97-DFEA-4813-B107-4BA4C0BD78DB",
"versionEndExcluding": "5.0.9",
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{
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"versionEndExcluding": "5.1.6",
"versionStartIncluding": "5.1.0",
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},
{
"criteria": "cpe:2.3:a:moodle:moodle:*:*:*:*:*:*:*:*",
"matchCriteriaId": "EFDDCBAE-2DFF-45D6-A90A-2A9AC1743722",
"versionEndExcluding": "5.2.2",
"versionStartIncluding": "5.2.0",
"vulnerable": true
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"negate": false,
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A flaw was found in Moodle. The XML grade import feature lacks proper Cross-Site Request Forgery (CSRF) token validation. By tricking an authenticated user with grade management permissions into visiting a malicious webpage, an attacker can trigger unauthorized requests on the victim\u0027s behalf. This flaw allows a remote attacker to set or overwrite student grades without authorization."
}
],
"id": "CVE-2026-102588",
"lastModified": "2026-10-01T15:51:47.490",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6,
"source": "patrick@puiterwijk.org",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
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"options": [
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"exploitation": "none"
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{
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{
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],
"role": "CISA Coordinator",
"timestamp": "2026-09-30T13:56:19.288426Z",
"version": "2.0.3"
}
}
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},
"published": "2026-09-30T09:17:16.163",
"references": [
{
"source": "patrick@puiterwijk.org",
"tags": [
"Patch"
],
"url": "http://git.moodle.org/gw?p=moodle.git\u0026a=search\u0026h=HEAD\u0026st=commit\u0026s=MDL-84545"
},
{
"source": "patrick@puiterwijk.org",
"tags": [
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],
"url": "https://access.redhat.com/security/cve/CVE-2026-102588"
},
{
"source": "patrick@puiterwijk.org",
"tags": [
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"Third Party Advisory"
],
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2543643"
},
{
"source": "patrick@puiterwijk.org",
"tags": [
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"url": "https://moodle.org/mod/forum/discuss.php?d=482507"
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],
"sourceIdentifier": "patrick@puiterwijk.org",
"vulnStatus": "Analyzed",
"weaknesses": [
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"description": [
{
"lang": "en",
"value": "CWE-346"
}
],
"source": "patrick@puiterwijk.org",
"type": "Secondary"
}
]
}
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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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