VAR-202201-0651
Vulnerability from variot - Updated: 2024-02-13 22:30A memory corruption vulnerability exists in the netserver parse_command_list functionality of reolink RLC-410W v3.0.0.136_20121102. A specially-crafted HTTP request can lead to an out-of-bounds write. An attacker can send an HTTP request to trigger this vulnerability. reolink RLC-410W There is an input validation vulnerability in.Information is tampered with and service operation is interrupted (DoS) It may be in a state. Reolink Rlc-410W is a Wifi security camera from China Reolink company.
Reolink RLC-410W has a security vulnerability in version v3.0.0.136_20121102. The vulnerability stems from the fact that the product parse_command_list function does not properly validate the input data
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"@context": {
"@vocab": "https://www.variotdbs.pl/ref/type#",
"sources": {
"@container": "@list",
"@context": {
"@vocab": "https://www.variotdbs.pl/ref/sources#"
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"data": "buffer error",
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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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