CVE-2026-45272 (GCVE-0-2026-45272)
Vulnerability from cvelistv5 – Published: 2026-08-19 14:39 – Updated: 2026-08-19 18:19
VLAI
EPSS
VEX
Title
MyBooks: Remote Code Execution via SOCIAL_AUTH Key Name Injection in Python Config File
Summary
MyBooks is an enhanced and easy-to-use personal ebook management web server also known as Talebook. In 3.41.2 and earlier, the AdminSettings.post handler in webserver/handlers/admin.py accepts SOCIAL_AUTH key names without validating quotes or newline characters, and SettingsLoader.dumpfile in webserver/loader.py concatenates those names into the generated Python source file auto.py without escaping them. An administrator can submit a crafted SOCIAL_AUTH key name that closes the settings dictionary and injects arbitrary Python statements. The application later executes those statements because SettingsLoader.loadfile imports auto.py as a module, and setting autoreload to true invokes restart_async so a process supervisor restarts the service and triggers the import. Successful exploitation executes commands with the privileges of the application service account and can disclose data, modify files, establish persistence, or disrupt the service. Related authorization and registration vulnerabilities can reduce the effective privilege requirement in a chained attack, but the standalone vulnerability requires administrator access. This issue is fixed in version 3.42.0.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-19 18:16 UTC
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/PoxenStudio/mybooks/security/a… | x_refsource_CONFIRM |
| https://github.com/PoxenStudio/mybooks/commit/a17… | x_refsource_MISC |
| https://github.com/PoxenStudio/mybooks/releases/t… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| PoxenStudio | talebook |
Affected:
< 3.42.0
|
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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