VAR-201601-0419
Vulnerability from variot - Updated: 2023-12-18 12:30Web Viewer 1.0.0.193 on Samsung SRN-1670D devices allows attackers to bypass filesystem encryption via XOR calculations. The Samsung SRN-1670D camera contains multiple vulnerabilities. In addition, JVNVU#97593732 Then CWE-327 It is published as CWE-327: Use of a Broken or Risky Cryptographic Algorithm https://cwe.mitre.org/data/definitions/327.htmlBy the attacker, XOR Through calculation, file system encryption may be avoided. SamsungSRN-1670D is a network video recorder product. The SamsungSRN-1670D uses a weak custom encryption algorithm based on a simple XOR operation that allows a remote attacker to exploit this vulnerability to obtain arbitrary files and user credentials. An arbitrary file-read vulnerability 2. An information-disclosure vulnerability 3. A security weakness Successful exploits can allow attackers to read arbitrary files or perform certain unauthorized actions and gain access to potentially sensitive information
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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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