VAR-201812-0345

Vulnerability from variot - Updated: 2024-11-23 22:34

A vulnerability has been identified in SIMATIC HMI Comfort Panels 4" - 22" (All versions < V14), SIMATIC HMI Comfort Outdoor Panels 7" & 15" (All versions < V14), SIMATIC HMI KTP Mobile Panels KTP400F, KTP700, KTP700F, KTP900 and KTP900F (All versions < V14), SIMATIC WinCC Runtime Advanced (All versions < V14), SIMATIC WinCC Runtime Professional (All versions < V14), SIMATIC WinCC (TIA Portal) (All versions < V14), SIMATIC HMI Classic Devices (TP/MP/OP/MP Mobile Panel) (All versions). The integrated web server (port 80/tcp and port 443/tcp) of the affected devices could allow an attacker to inject HTTP headers. An attacker must trick a valid user who is authenticated to the device into clicking on a malicious link to exploit the vulnerability. At the time of advisory publication no public exploitation of this security vulnerability was known. plural SIMATIC The product contains an input validation vulnerability.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. Siemens SIMATIC Panels and SIMATIC WinCC (TIA Portal) are products of Siemens AG, Germany. Siemens SIMATIC Panels is a human interface panel. SIMATIC WinCC is an automated data acquisition and monitoring (SCADA) system. A code injection vulnerability exists in Siemens SIMATIC Panels and SIMATIC WinCC (TIA Portal), which can be exploited by an attacker to inject HTTP headers with malicious links. Multiple Siemens Products are prone to an HTTP header-injection vulnerability because it fails to sufficiently sanitize user input. This may aid in further attacks

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Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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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.