CVE-2024-39314 (GCVE-0-2024-39314)
Vulnerability from cvelistv5 – Published: 2024-07-01 21:33 – Updated: 2024-08-02 04:19
VLAI
EPSS
VEX
Title
toy-blog administrative token leaked through the command line parameter
Summary
toy-blog is a headless content management system implementation. Starting in version 0.4.3 and prior to version 0.5.0, the administrative password was leaked through the command line parameter. The problem was patched in version 0.5.0. As a workaround, pass `--read-bearer-token-from-stdin` to the launch arguments and feed the token from the standard input in version 0.4.14 or later. Earlier versions do not have this workaround.
Severity
4.7 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-02 19:02 UTC
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/KisaragiEffective/toy-blog/sec… | x_refsource_CONFIRM |
| https://github.com/KisaragiEffective/toy-blog/com… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| KisaragiEffective | toy-blog |
Affected:
>= 0.4.3, < 0.5.0
|
guessed |
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|---|
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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.
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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.