CVE-2021-32997 (GCVE-0-2021-32997)
Vulnerability from cvelistv5 – Published: 2022-05-25 13:33 – Updated: 2025-04-16 16:18
VLAI
EPSS
VEX
Title
Baker Hughes Bently Nevada 3500 - Use of Password Hash with Insufficient Computational Effort
Summary
The affected Baker Hughes Bentley Nevada products (3500 System 1 6.x, Part No. 3060/00 versions 6.98 and prior, 3500 System 1, Part No. 3071/xx & 3072/xx versions 21.1 HF1 and prior, 3500 Rack Configuration, Part No. 129133-01 versions 6.4 and prior, and 3500/22M Firmware, Part No. 288055-01 versions 5.05 and prior) utilize a weak encryption algorithm for storage and transmission of sensitive data, which may allow an attacker to more easily obtain credentials used for access.
Severity
8.2 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-16 15:55 UTC
CWE
- CWE-916 - Use of Password Hash With Insufficient Computational Effort
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.cisa.gov/uscert/ics/advisories/icsa-2… | x_refsource_MISC |
Impacted products
4 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Bentley Nevada, a Baker Hughes subsidiary | 3500 System 1 6.x, Part No. 3060/00 |
Affected:
All , ≤ 6.98
(custom)
|
guessed | |
| Bentley Nevada, a Baker Hughes subsidiary | 3500 System 1, Part No. 3071/xx & 3072/xx |
Affected:
All , ≤ 21.1 HF1
(custom)
|
guessed | |
| Bentley Nevada, a Baker Hughes subsidiary | 3500 Rack Configuration, Part No. 129133-01 |
Affected:
All , ≤ 6.4
(custom)
|
guessed | |
| Bentley Nevada, a Baker Hughes subsidiary | 3500/22M Firmware, Part No. 288055-01 |
Affected:
All , ≤ 5.05
(custom)
|
guessed |
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"source": {
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"title": "Baker Hughes Bently Nevada 3500 - Use of Password Hash with Insufficient Computational Effort",
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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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