FKIE_CVE-2026-54510
Vulnerability from fkie_nvd - Published: 2026-09-17 21:17 - Updated: 2026-09-18 14:17
Severity
Summary
Speakr is a personal, self-hosted web application designed for transcribing audio recordings. Prior to 0.8.21-alpha, the csrf_exempt_for_api_tokens() before_request hook in src/app.py calls csrf.exempt(view_func), permanently adding the selected view to Flask-WTF's process-global exemption set. The is_token_authenticated() function in src/utils/token_auth.py calls extract_token_from_request() and treats any present token, including request.args.get('token'), as authenticated without hashing the token, querying the database, or checking validity. A network-reachable attacker can therefore send a false token to disable CSRF protection for the targeted view for the worker lifetime. Because the exemption applies to the view function across HTTP methods, a cross-origin GET to /account with a query token can poison CSRF state for a later state-changing POST without triggering CORS preflight. This browser sequence requires attacker-controlled content on a sibling subdomain under the documented cookie conditions. The bypass can modify profile data, custom prompts, transcription settings, preferences, and administrative status through routes such as admin_toggle_admin. The change_password route also skips current-password verification when current_user.password is empty, allowing the chain to set a local password on an SSO-only account and bypass SSO. This issue is fixed in version 0.8.21-alpha.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "speakr",
"vendor": "murtaza-nasir",
"versions": [
{
"status": "affected",
"version": "\u003c 0.8.21-alpha"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Speakr is a personal, self-hosted web application designed for transcribing audio recordings. Prior to 0.8.21-alpha, the csrf_exempt_for_api_tokens() before_request hook in src/app.py calls csrf.exempt(view_func), permanently adding the selected view to Flask-WTF\u0027s process-global exemption set. The is_token_authenticated() function in src/utils/token_auth.py calls extract_token_from_request() and treats any present token, including request.args.get(\u0027token\u0027), as authenticated without hashing the token, querying the database, or checking validity. A network-reachable attacker can therefore send a false token to disable CSRF protection for the targeted view for the worker lifetime. Because the exemption applies to the view function across HTTP methods, a cross-origin GET to /account with a query token can poison CSRF state for a later state-changing POST without triggering CORS preflight. This browser sequence requires attacker-controlled content on a sibling subdomain under the documented cookie conditions. The bypass can modify profile data, custom prompts, transcription settings, preferences, and administrative status through routes such as admin_toggle_admin. The change_password route also skips current-password verification when current_user.password is empty, allowing the chain to set a local password on an SSO-only account and bypass SSO. This issue is fixed in version 0.8.21-alpha."
}
],
"id": "CVE-2026-54510",
"lastModified": "2026-09-18T14:17:18.303",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 4.2,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-54510",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-18T13:30:37.449695Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-17T21:17:16.237",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/murtaza-nasir/speakr/commit/70e193e47b664bedf274f62aea14220f2a85a459"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/murtaza-nasir/speakr/releases/tag/v0.8.21-alpha"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/murtaza-nasir/speakr/security/advisories/GHSA-x4q4-3ww4-h329"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/murtaza-nasir/speakr/security/advisories/GHSA-x4q4-3ww4-h329"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-287"
},
{
"lang": "en",
"value": "CWE-352"
}
],
"source": "security-advisories@github.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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