CVE-2026-68923 (GCVE-0-2026-68923)
Vulnerability from cvelistv5 – Published: 2026-08-18 17:49 – Updated: 2026-08-19 18:21
VLAI
EPSS
VEX
Title
MobSF: CSRF checks not enforced after Django migration
Summary
MobSF is a mobile application security testing tool used. Prior to 4.5.1, mobsf/MobSF/settings.py places django.middleware.csrf.CsrfViewMiddleware only in the deprecated MIDDLEWARE_CLASSES setting and omits it from the active MIDDLEWARE tuple, allowing a remote attacker to make a logged-in victim submit cross-site POST requests to authenticated web endpoints including /delete_scan/, /upload/, /download_scan/, /change_password/, /create_user/, and /delete_user/. This can delete scans, upload or download applications, change passwords, or manage users with the victim account permissions. This issue is fixed in version 4.5.1.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-19 18:04 UTC
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/MobSF/Mobile-Security-Framewor… | x_refsource_CONFIRM |
| https://github.com/MobSF/Mobile-Security-Framewor… | x_refsource_MISC |
| https://github.com/MobSF/Mobile-Security-Framewor… | x_refsource_MISC |
| https://github.com/MobSF/Mobile-Security-Framewor… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| MobSF | Mobile-Security-Framework-MobSF |
Affected:
< 4.5.1
|
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.
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.
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