VAR-202109-0600
Vulnerability from variot - Updated: 2025-01-30 20:36Multiple camera devices by UDP Technology, Geutebrück and other vendors are vulnerable to a stack-based buffer overflow condition in the profile parameter which may allow an attacker to remotely execute arbitrary code. GEUTEBRUCK Provided by the company G-Cam E2 and G-Code The following multiple vulnerabilities exist in. * Lack of authentication for important features (CWE-306) - CVE-2021-33543 ‥ * Command injection (CWE-77) - CVE-2021-33544 , CVE-2021-33548 , CVE-2021-33550 , CVE-2021-33551 , CVE-2021-33552 , CVE-2021-33553 , CVE-2021-33554 ‥ * Stack-based buffer overflow (CWE-121) - CVE-2021-33545 , CVE-2021-33546 , CVE-2021-33547 , CVE-2021-33549The expected impact depends on each vulnerability, but it may be affected as follows. 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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