CVE-2022-50992

April 30, 2026, 5:19 p.m.

8.7
High

Description

Weaver (Fanwei) E-cology 9.5 versions prior to 10.52 contain an arbitrary file read vulnerability in the XmlRpcServlet interface at the XML-RPC endpoint that allows unauthenticated remote attackers to read arbitrary files by supplying file paths to the WorkflowService.getAttachment and WorkflowService.LoadTemplateProp methods. Attackers can exploit these methods without authentication to retrieve sensitive files including system configuration files and database credentials from the server. Exploitation evidence was first observed by the Shadowserver Foundation on 2022-12-14 (UTC).

Product(s) Impacted

Vendor Product Versions
Weaver
  • Fanwei E-cology
  • <9.5

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.

CVSS Score

8.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/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 30, 2026, 5:16 p.m.
Last Modified: April 30, 2026, 5:19 p.m.

Status : Deferred

When a CVE is given this status the NVD does not plan analyze or re-analyze this CVE due to resource or other concerns.

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.