THREATPORT/VULNERABILITY/CVE-2018-0442
HIGH SEVERITY

CVE-2018-0442

Wireless Lan Controller Software vulnerability

CVSS
7.5
EPSS
3.3%
EPSS pct
87th
Exploited
No known
A vulnerability in the Control and Provisioning of Wireless Access Points (CAPWAP) protocol component of Cisco Wireless LAN Controller (WLC) Software could allow an unauthenticated, remote attacker to retrieve memory contents, which could lead to the disclosure of confidential information. The vulnerability is due to insufficient condition checks in the part of the code that handles CAPWAP keepalive requests. An attacker could exploit this vulnerability by sending a crafted CAPWAP keepalive packet to a vulnerable Cisco WLC device. A successful exploit could allow the attacker to retrieve the contents of device memory, which could lead to the disclosure of confidential information.
Affected vendor
Cisco
Affected product
Wireless Lan Controller Software
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Weakness type (CWE)
  • CWE-200 — Exposure of Sensitive Information
Published
2018-10-17

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.

Its EPSS score of 3.3% reflects a lower probability of exploitation activity in the wild over the next 30 days, placing it above 87% of all scored CVEs.

Check your external exposure to CVE-2018-0442

  • Confirm whether Cisco Wireless Lan Controller Software is running on any internet-facing host or subdomain.
  • Match discovered service fingerprints against the version affected by CVE-2018-0442.
  • Prioritise remediation if the asset is public, business-critical, or near authentication/payment flows.

How ThreatPort helps with CVE-2018-0442

ThreatPort's external attack surface scanner checks your internet-facing assets — agentlessly, from the outside in — for the exposed services and versions that CVE-2018-0442 affects, then prioritises the finding by real risk using CISA KEV and FIRST.org EPSS.

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