GSD-2022-3183
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Dataprobe iBoot-PDU FW versions prior to 1.42.06162022 contain a vulnerability where a specific function does not sanitize the input provided by the user, which may expose the affected to an OS command injection vulnerability.
Aliases
Aliases
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"value": "\n\n\u003cp\u003eDataprobe has released the following version update to mitigate these vulnerabilities:\u003c/p\u003e\u003cul\u003e\u003cli\u003eiBoot-PDU FW: \u003ca target=\"_blank\" rel=\"nofollow\" href=\"https://dataprobe.com/support-iboot-pdu/\"\u003eVersion 1.42.06162022\u003c/a\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eDataprobe also recommends users to disable the SNMP if it is not in use. \u003c/p\u003e\n\n\u003cbr\u003e"
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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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