FKIE_CVE-2026-18277
Vulnerability from fkie_nvd - Published: 2026-08-06 16:16 - Updated: 2026-08-18 18:06
Severity
Summary
Missing authorization in the OcrModelRight create and delete views in Scripta eScriptorium through 26.04.1 allows a remote authenticated user to grant themselves access to another user's private OCR model and to revoke any user's OCR model access via a POST request, because the ownership check is placed in get_context_data() and therefore runs only on the GET rendering path
References
| URL | Tags | ||
|---|---|---|---|
| cve@gitlab.com | https://gitlab.com/scripta/escriptorium/-/work_items/1227 | Permissions Required |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| escriptorium | escriptorium | * |
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "eScriptorium",
"vendor": "Scripta",
"versions": [
{
"lessThanOrEqual": "26.4.1",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "cve@gitlab.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:escriptorium:escriptorium:*:*:*:*:*:*:*:*",
"matchCriteriaId": "362E7B9E-A763-49D5-B9FE-9105E6759CCB",
"versionEndIncluding": "26.04.1",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Missing authorization in the OcrModelRight create and delete views in Scripta eScriptorium through 26.04.1 allows a remote authenticated user to grant themselves access to another user\u0027s private OCR model and to revoke any user\u0027s OCR model access via a POST request, because the ownership check is placed in get_context_data() and therefore runs only on the GET rendering path"
}
],
"id": "CVE-2026-18277",
"lastModified": "2026-08-18T18:06:35.173",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 4.2,
"source": "cve@gitlab.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-18277",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-06T15:46:02.475451Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-06T16:16:38.100",
"references": [
{
"source": "cve@gitlab.com",
"tags": [
"Permissions Required"
],
"url": "https://gitlab.com/scripta/escriptorium/-/work_items/1227"
}
],
"sourceIdentifier": "cve@gitlab.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-862"
}
],
"source": "cve@gitlab.com",
"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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