Vulnerabilities > CVE-2014-125056 - Information Exposure Through Timing Discrepancy vulnerability in Pylonsproject Horus

047910
CVSS 5.3 - MEDIUM
Attack vector
NETWORK
Attack complexity
LOW
Privileges required
NONE
Confidentiality impact
LOW
Integrity impact
NONE
Availability impact
NONE
network
low complexity
pylonsproject
CWE-208

Summary

A vulnerability was found in Pylons horus and classified as problematic. Affected by this issue is some unknown functionality of the file horus/flows/local/services.py. The manipulation leads to observable timing discrepancy. The complexity of an attack is rather high. The exploitation is known to be difficult. The patch is identified as fd56ccb62ce3cbdab0484fe4f9c25c4eda6c57ec. It is recommended to apply a patch to fix this issue. VDB-217598 is the identifier assigned to this vulnerability.

Common Attack Pattern Enumeration and Classification (CAPEC)

  • Fingerprinting
    An adversary compares output from a target system to known "fingerprints" that uniquely identify specific details about the target. Fingerprinting by itself is not usually detrimental to the target. However, the information gathered through fingerprinting often enables an adversary to discover existing weaknesses in the target.
  • Cross-Domain Search Timing
    An attacker initiates cross domain HTTP / GET requests and times the server responses. The timing of these responses may leak important information on what is happening on the server. Browser's same origin policy prevents the attacker from directly reading the server responses (in the absence of any other weaknesses), but does not prevent the attacker from timing the responses to requests that the attacker issued cross domain. For GET requests an attacker could for instance leverage the "img" tag in conjunction with "onload() / onerror()" javascript events. For the POST requests, an attacker could leverage the "iframe" element and leverage the "onload()" event. There is nothing in the current browser security model that prevents an attacker to use these methods to time responses to the attackers' cross domain requests. The timing for these responses leaks information. For instance, if a victim has an active session with their online e-mail account, an attacker could issue search requests in the victim's mailbox. While the attacker is not able to view the responses, based on the timings of the responses, the attacker could ask yes / no questions as to the content of victim's e-mails, who the victim e-mailed, when, etc. This is but one example; There are other scenarios where an attacker could infer potentially sensitive information from cross domain requests by timing the responses while asking the right questions that leak information.