VAR-201711-0030
Vulnerability from variot - Updated: 2023-12-18 13:43Session management issue in RX-V200 firmware versions prior to 09.87.17.09, RX-V100 firmware versions prior to 03.29.17.09, RX-CLV1-P firmware versions prior to 79.17.17.09, RX-CLV2-B firmware versions prior to 89.07.17.09, RX-CLV3-N firmware versions prior to 91.09.17.10 allows an attacker on the same LAN to perform arbitrary operations or access information via unspecified vectors. Robotic appliance COCOROBO provided by Sharp Corporation is a robot with cleaning function. Robotic appliance COCOROBO contains a vulnerability in session management (CWE-639). Kiyotaka ATSUMI of IoT Technology Laboratory, Cyber Grid Japan, LAC Co., Ltd. reported this vulnerability to IPA. JPCERT/CC coordinated with the developer under Information Security Early Warning Partnership.An attacker on the same LAN may impersonate a user to accessing product. As a result, there is a possibility that an arbitrary operation may be conducted or information may be altered/disclosed
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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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