CVE-2026-39907

April 14, 2026, 10:16 p.m.

7.0
Medium

Description

Unisys WebPerfect Image Suite versions 3.0.3960.22810 and 3.0.3960.22604 expose an unauthenticated WCF SOAP endpoint on TCP port 1208 that accepts unsanitized file paths in the ReadLicense action's LFName parameter, allowing remote attackers to trigger SMB connections and leak NTLMv2 machine-account hashes. Attackers can submit crafted SOAP requests with UNC paths to force the server to initiate outbound SMB connections, exposing authentication credentials that may be relayed for privilege escalation or lateral movement within the network.

Product(s) Impacted

Vendor Product Versions
Unisys
  • Webperfect Imagesuite
  • 3.0.3960.22810, 3.0.3960.22604

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-73
External Control of File Name or Path
The product allows user input to control or influence paths or file names that are used in filesystem operations.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a unisys webperfect_imagesuite 3.0.3960.22810 / / / / / / /
a unisys webperfect_imagesuite 3.0.3960.22604 / / / / / / /

CVSS Score

7.0 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: PRESENT
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:L/VI:N/VA:N/SC:H/SI:H/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: April 14, 2026, 10:16 p.m.
Last Modified: April 14, 2026, 10:16 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.