VAR-201701-0491
Vulnerability from variot - Updated: 2025-04-13 23:21Directory traversal vulnerability in scgi-bin/platform.cgi on NETGEAR FVS336Gv3, FVS318N, FVS318Gv2, and SRX5308 devices with firmware before 4.3.3-8 allows remote authenticated users to read arbitrary files via a .. (dot dot) in the thispage parameter, as demonstrated by reading the /etc/shadow file. NETGEAR is a US NETGEAR company, a computer network equipment and other computer hardware manufacturers. Multiple NETGEAR products are prone to a directory-traversal vulnerability because they fail to sufficiently sanitize user-supplied input. Remote attackers can use a specially crafted request with directory-traversal sequences ('../') to retrieve arbitrary files in the context of the application. Information obtained could aid in further attacks. NETGEAR FVS336Gv3, FVS318N, FVS318Gv2, and SRX5308 devices running firmware versions prior to 4.3.3-8 are vulnerable. The following products are affected: NETGEAR FVS336Gv3; FVS318N; FVS318Gv2; SRX5308
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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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