CVE-2020-4429 (GCVE-0-2020-4429)
Vulnerability from cvelistv5 – Published: 2020-05-07 19:20 – Updated: 2025-11-03 21:44
VLAI
EPSS
VEX
Summary
IBM Data Risk Manager 2.0.1, 2.0.2, 2.0.3, 2.0.4, 2.0.5, and 2.0.6 contains a default password for an IDRM administrative account. A remote attacker could exploit this vulnerability to login and execute arbitrary code on the system with root privileges. IBM X-Force ID: 180534.
Severity
CWE
- Gain Access
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://www.ibm.com/support/pages/node/6206875 | x_refsource_CONFIRM |
| https://exchange.xforce.ibmcloud.com/vulnerabilit… | vdb-entryx_refsource_XF |
| http://seclists.org/fulldisclosure/2024/Nov/1 | |
| http://seclists.org/fulldisclosure/2024/Nov/0 |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| IBM | Data Risk Manager |
Affected:
2.0.1
Affected: 2.0.2 Affected: 2.0.3 Affected: 2.0.4 Affected: 2.0.5 Affected: 2.0.6 |
guessed |
Date Public
2020-04-21 00:00
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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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