Vulnerability-Lookup

VAR-202108-0238

Vulnerability from variot - Updated: 2025-01-30 19:45

NVIDIA camera firmware contains a difficult to exploit vulnerability where a highly privileged attacker can cause unauthorized modification to camera resources, which may result in complete denial of service and partial loss of data integrity for all clients. Jetson Linux Exists in a fraudulent authentication vulnerability.Information is tampered with and service operation is interrupted (DoS) It may be in 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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CVE-2021-1113 (GCVE-0-2021-1113)

Vulnerability from cvelistv5 – Published: 2021-08-11 21:33 – Updated: 2024-08-03 15:55

Summary

Severity

4.7 (Medium)


                        
                          CVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:N/I:L/A:H

CWE

CWE-284 - Improper Access Control

Assigner

nvidia CNA under the mitre root

CNA scorecard C 65/100 over 329 records in the last 180 days details

References

1 reference

URL	Tags
https://nvidia.custhelp.com/app/answers/detail/a_…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
NVIDIA	Jetson AGX Xavier series, Jetson Xavier NX, Jetson TX2 series, Jetson TX2 NX, Jetson Nano, Jetson Nano 2GB, Jetson TX1	Affected: All Jetson Linux versions prior to r32.6.1

Show details on NVD website

JSON

To clipboard

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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

Order JSON

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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.

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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