CVE-2014-3120
Elasticsearch Remote Code Execution Vulnerability - [Actively Exploited]
Description
The default configuration in Elasticsearch before 1.2 enables dynamic scripting, which allows remote attackers to execute arbitrary MVEL expressions and Java code via the source parameter to _search. NOTE: this only violates the vendor's intended security policy if the user does not run Elasticsearch in its own independent virtual machine.
INFO
Published Date :
July 28, 2014, 7:55 p.m.
Last Modified :
Nov. 21, 2024, 2:07 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
6.4
Exploitability Score :
8.6
CISA KEV (Known Exploited Vulnerabilities)
For the benefit of the cybersecurity community and network defenders—and to help every organization better manage vulnerabilities and keep pace with threat activity—CISA maintains the authoritative source of vulnerabilities that have been exploited in the wild.
Elasticsearch enables dynamic scripting, which allows remote attackers to execute arbitrary MVEL expressions and Java code.
Apply updates per vendor instructions.
https://nvd.nist.gov/vuln/detail/CVE-2014-3120
Public PoC/Exploit Available at Github
CVE-2014-3120 has a 72 public PoC/Exploit
available at Github.
Go to the Public Exploits
tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2014-3120
.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
基于Docker-Compose的预构建漏洞环境设计源码 Docker-Compose 漏洞环境 Java Python Shell 该项目是一套基于Docker-Compose的预构建漏洞环境设计源码,涵盖了1684个文件,其中包括405个PNG图像文件、319个Markdown文档、218个YAML配置文件、68个Java源文件、67个Python脚本、62个Shell脚本、53个XML文件、34个PHP文件以及多个Dockerfile。该环境集成了Java, Python, Shell, PHP, HTML, JavaScript, CSS, Ruby等多种编程语言,旨在为安全研究提供易用的漏洞测试平台。
None
Python
The global cybersecurity market is expected to record a compound annual growth rate of 13.4% by 2029.
Python
Small & Fast Vulnerability Scanner Engine based on XRAY YAML Rule | 基于 XRAY YAML 规则的超轻量快速漏洞扫描引擎 | 基于 ANTLR 实现语法分析和完整的 XRAY YAML 规则实现 | 简单的启动参数 | 包含多种反连可用 | 可执行文件体积仅 2 MB
poc security vulnerability vulnerability-detection vulnerability-scanner web-security web-vulnerability-scanner
Batchfile Go ANTLR
None
None
Senarai susun atur honeypot yang hebat, serta komponen berkaitan dan banyak lagi, dibahagikan kepada kategori seperti Web, perkhidmatan dan lain-lain, dengan tumpuan pada projek sumber terbuka dan percuma.
Python
在公网收集的gobypoc+部分自己加的poc
None
Shell Python Dockerfile
None
Python
struts2全套Exp
struts2-exp
Java Python JavaScript Shell Batchfile VBScript Perl HTML
None
Python
None
Python Go
A Docker runner for vulnhub environment.
automation docker vulhub vuln vulnerability vulnenv
Python Makefile
None
Java Python JavaScript Shell Batchfile VBScript Perl HTML
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2014-3120
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2014-3120
vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference http://bouk.co/blog/elasticsearch-rce/ Added Reference http://www.exploit-db.com/exploits/33370 Added Reference http://www.osvdb.org/106949 Added Reference http://www.rapid7.com/db/modules/exploit/multi/elasticsearch/script_mvel_rce Added Reference http://www.securityfocus.com/bid/67731 Added Reference https://www.elastic.co/blog/logstash-1-4-3-released Added Reference https://www.elastic.co/community/security/ Added Reference https://www.found.no/foundation/elasticsearch-security/#staying-safe-while-developing-with-elasticsearch -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Reanalysis by [email protected]
Dec. 06, 2016
Action Type Old Value New Value Changed Reference Type http://www.rapid7.com/db/modules/exploit/multi/elasticsearch/script_mvel_rce No Types Assigned http://www.rapid7.com/db/modules/exploit/multi/elasticsearch/script_mvel_rce Third Party Advisory, Exploit Changed Reference Type https://www.found.no/foundation/elasticsearch-security/#staying-safe-while-developing-with-elasticsearch No Types Assigned https://www.found.no/foundation/elasticsearch-security/#staying-safe-while-developing-with-elasticsearch Exploit Removed CWE CWE-16 Added CWE CWE-284 -
Modified Analysis by [email protected]
Jun. 25, 2015
Action Type Old Value New Value Changed Reference Type https://www.elastic.co/blog/logstash-1-4-3-released No Types Assigned https://www.elastic.co/blog/logstash-1-4-3-released Advisory Changed Reference Type https://www.elastic.co/community/security/ No Types Assigned https://www.elastic.co/community/security/ Advisory -
CVE Modified by [email protected]
Jun. 18, 2015
Action Type Old Value New Value Added Reference https://www.elastic.co/blog/logstash-1-4-3-released Added Reference https://www.elastic.co/community/security/ -
Initial Analysis by [email protected]
Jul. 29, 2014
Action Type Old Value New Value
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2014-3120
is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2014-3120
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
72.58 }} 23.08%
score
0.98278
percentile