VAR-201909-0009
Vulnerability from variot - Updated: 2024-11-23 22:16IBM Intelligent Operations Center V5.1.0 - V5.2.0, IBM Intelligent Operations Center for Emergency Management V5.1.0 - V5.1.0.6, and IBM Water Operations for Waternamics V5.1.0 - V5.2.1.1 does not require that users should have strong passwords by default, which makes it easier for attackers to compromise user accounts. IBM X-Force ID: 161201. Vendors have confirmed this vulnerability IBM X-Force ID: 161201 It is released as.Information may be obtained. The product has functions such as data visualization and real-time collaboration. IBM Water Operations for Waternamics is a predictive analytics platform for water operators. The platform includes functions such as infrastructure management, asset management, and operation management for water operators. The vulnerability stems from the failure of the program to require users to use strong passwords by default. Attackers can use this vulnerability to control accounts
Show details on source website{
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Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
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- 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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.