CVE-2025-59350

Sept. 18, 2025, 8:15 p.m.

2.7
Low

Description

Dragonfly is an open source P2P-based file distribution and image acceleration system. Prior to 2.1.0, the access control mechanism for the Proxy feature uses simple string comparisons and is therefore vulnerable to timing attacks. An attacker may try to guess the password one character at a time by sending all possible characters to a vulnerable mechanism and measuring the comparison instruction’s execution times. This vulnerability is fixed in 2.1.0.

Product(s) Impacted

Vendor Product Versions
Linuxfoundation
  • Dragonfly
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-208
Observable Timing Discrepancy
Two separate operations in a product require different amounts of time to complete, in a way that is observable to an actor and reveals security-relevant information about the state of the product, such as whether a particular operation was successful or not.

*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 linuxfoundation dragonfly / / / / / go / /

CVSS Score

2.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: UNREPORTED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:U/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: Sept. 17, 2025, 8:15 p.m.
Last Modified: Sept. 18, 2025, 8:15 p.m.

Status : Analyzed

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

More info

Source

security-advisories@github.com

*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.