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VAR-201706-0493

Vulnerability from variot - Updated: 2025-04-20 23:02

An exploitable directory traversal vulnerability exists in the web management interface used by the Foscam C1 Indoor HD Camera running application firmware 2.52.2.37. A specially crafted HTTP request can cause the application to read a file from disk but a failure to adequately filter characters results in allowing an attacker to specify a file outside of a directory. An attacker can simply send an HTTP request to the device to trigger this vulnerability. Foscam C1 Indoor HD The camera has a path traversal vulnerability.Information may be obtained. FoscamC1IndoorHDCamera is a wireless HD IP camera from China Foscam. Remote attackers may use a specially crafted request with directory-traversal sequences ('../') to retrieve sensitive information. This may aid in further attacks

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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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Detection rules are retrieved from Rulezet.

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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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