VAR-202105-0484
Vulnerability from variot - Updated: 2024-08-14 12:16There is an out-of-bounds write vulnerability in some Huawei products. The code of a module have a bad judgment logic. Attackers can exploit this vulnerability by performing multiple abnormal activities to trigger the bad logic and cause out-of-bounds write. This may compromise the normal service of the module.Affected product versions include: NGFW Module versions V500R005C00SPC100,V500R005C00SPC200;Secospace USG6300 versions V500R001C30SPC200,V500R001C30SPC600,V500R001C60SPC500,V500R005C00SPC100,V500R005C00SPC200;Secospace USG6500 versions V500R001C30SPC200,V500R001C30SPC600,V500R001C60SPC500,V500R005C00SPC100,V500R005C00SPC200;Secospace USG6600 versions V500R001C30SPC200,V500R001C30SPC600,V500R001C60SPC500,V500R005C00SPC100,V500R005C00SPC200;USG9500 versions V500R001C60SPC500,V500R005C00SPC100,V500R005C00SPC200. plural Huawei The product contains a vulnerability related to out-of-bounds writing.Denial of service (DoS) It may be put into a state. Pillow is a Python-based image processing library. There is currently no information about this vulnerability, please feel free to follow CNNVD or manufacturer announcements
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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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