THREATPORT/VULNERABILITY/CVE-2016-10043
CRITICAL SEVERITY

CVE-2016-10043

Web Panel vulnerability

CVSS
10.0
EPSS
9.5%
EPSS pct
95th
Exploited
No known
An issue was discovered in Radisys MRF Web Panel (SWMS) 9.0.1. The MSM_MACRO_NAME POST parameter in /swms/ms.cgi was discovered to be vulnerable to OS command injection attacks. It is possible to use the pipe character (|) to inject arbitrary OS commands and retrieve the output in the application's responses. Attackers could execute unauthorized commands, which could then be used to disable the software, or read, write, and modify data for which the attacker does not have permissions to access directly. Since the targeted application is directly executing the commands instead of the attacker, any malicious activities may appear to come from the application or the application's owner (apache user).
Affected vendor
Mrf
Affected product
Web Panel
CVSS vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
Weakness type (CWE)
  • CWE-78 — OS Command Injection
Published
2017-01-31

Risk analysis

Based on its CVSS vector, this vulnerability is exploitable over the network, low attack complexity, requiring no privileges, no user interaction. Successful exploitation leads to high impact to confidentiality, high impact to integrity, high impact to availability.

Its EPSS score of 9.5% reflects a lower probability of exploitation activity in the wild over the next 30 days, placing it above 95% of all scored CVEs.

Check your external exposure to CVE-2016-10043

  • Confirm whether Mrf Web Panel is running on any internet-facing host or subdomain.
  • Match discovered service fingerprints against the version affected by CVE-2016-10043.
  • Prioritise remediation if the asset is public, business-critical, or near authentication/payment flows.

How ThreatPort helps with CVE-2016-10043

ThreatPort's external attack surface scanner checks your internet-facing assets — agentlessly, from the outside in — for the exposed services and versions that CVE-2016-10043 affects, then prioritises the finding by real risk using CISA KEV and FIRST.org EPSS.

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