CVE-2021-3990 (GCVE-0-2021-3990)
Vulnerability from cvelistv5 – Published: 2021-12-01 10:50 – Updated: 2024-08-03 17:16
VLAI
EPSS
VEX
Title
Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) in star7th/showdoc
Summary
showdoc is vulnerable to Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)
Severity
6.5 (Medium)
CWE
- CWE-338 - Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://huntr.dev/bounties/0680067d-56a7-4412-b06… | x_refsource_CONFIRM |
| https://github.com/star7th/showdoc/commit/a9886f2… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| star7th | star7th/showdoc |
Affected:
unspecified , < 2.9.13
(custom)
|
guessed |
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"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
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"title": "Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) in star7th/showdoc",
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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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