CVE-2023-31176 (GCVE-0-2023-31176)
Vulnerability from cvelistv5 – Published: 2023-11-30 16:53 – Updated: 2024-10-16 19:21
VLAI
EPSS
VEX
Title
Insufficient entropy vulnerability could lead to authentication bypass
Summary
An Insufficient Entropy vulnerability in the Schweitzer Engineering Laboratories SEL-451 could allow an unauthenticated remote attacker to brute-force session tokens and bypass authentication.
See product Instruction Manual Appendix A dated 20230830 for more details.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-15 17:28 UTC
CWE
- CWE-331 - Insufficient Entropy
Assigner
References
2 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Schweitzer Engineering Laboratories | SEL-451 |
Affected:
R315-V0 , < R315-V4
(custom)
Affected: R316-V0 , < R316-V4 (custom) Affected: R317-V0 , < R317-V4 (custom) Affected: R318-V0 , < R318-V5 (custom) Affected: R320-V0 , < R320-V3 (custom) Affected: R321-V0 , < R321-V3 (custom) Affected: R322-V0 , < R322-V3 (custom) Affected: R323-V0 , < R323-V5 (custom) Affected: R324-V0 , < R324-V4 (custom) Affected: R325-V0 , < R325-V3 (custom) Affected: R326-V0 , < R326-V1 (custom) Affected: R327-V0 , < R327-V1 (custom) |
guessed | |
| selinc | sel-451_firmware |
Affected:
R315-V0 , < R315-V4
(custom)
Affected: R316-V0 , < R316-V4 (custom) Affected: R317-V0 , < R317-V4 (custom) Affected: R318-V0 , < R318-V5 (custom) Affected: R320-V0 , < R320-V3 (custom) Affected: R321-V0 , < R321-V3 (custom) Affected: R322-V0 , < R322-V3 (custom) Affected: R323-V0 , < R323-V5 (custom) Affected: R324-V0 , < R324-V4 (custom) Affected: R325-V0 , < R325-V3 (custom) Affected: R326-V0 , < R326-V1 (custom) Affected: R327-V0 , < R327-V1 (custom) cpe:2.3:o:selinc:sel-451_firmware:*:*:*:*:*:*:*:* |
Date Public
2023-11-30 09:56
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"metrics": [
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"options": [
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},
{
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"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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],
"cna": {
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"product": "SEL-451",
"vendor": "Schweitzer Engineering Laboratories",
"versions": [
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}
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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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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.
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