CVE-2026-54510 (GCVE-0-2026-54510)
Vulnerability from cvelistv5 – Published: 2026-09-17 20:20 – Updated: 2026-09-18 13:31
VLAI
EPSS
VEX
Title
Speakr: CSRF bypass via unauthenticated API token parameter in csrf_exempt_for_api_tokens hook
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.
Severity
7.1 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-18 13:30 UTC
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/murtaza-nasir/speakr/security/… | x_refsource_CONFIRM |
| https://github.com/murtaza-nasir/speakr/commit/70… | x_refsource_MISC |
| https://github.com/murtaza-nasir/speakr/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| murtaza-nasir | speakr |
Affected:
< 0.8.21-alpha
|
guessed |
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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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