CVE-2017-3203
Pivotal Spring-flex AMF3 Deserialization Remote Code Execution Vulnerability
Description
The Java implementations of AMF3 deserializers in Pivotal/Spring Spring-flex derive class instances from java.io.Externalizable rather than the AMF3 specification's recommendation of flash.utils.IExternalizable. A remote attacker with the ability to spoof or control an RMI server connection may be able to send serialized Java objects that execute arbitrary code when deserialized.
INFO
Published Date :
June 11, 2018, 5:29 p.m.
Last Modified :
Oct. 9, 2019, 11:27 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
2.2
Public PoC/Exploit Available at Github
CVE-2017-3203 has a 1 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-2017-3203.
| URL | Resource |
|---|---|
| http://www.securityweek.com/flaws-java-amf-libraries-allow-remote-code-execution | Third Party Advisory |
| https://codewhitesec.blogspot.com/2017/04/amf.html | Exploit Mitigation Third Party Advisory |
| https://www.kb.cert.org/vuls/id/307983 | Third Party Advisory US Government Resource |
| https://www.securityfocus.com/bid/97376 | Third Party Advisory VDB Entry |
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).
Compiled dataset of Java deserialization CVEs
java-deserialization deserialization cve security
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2017-3203 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2017-3203 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 [email protected]
May. 14, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
Oct. 09, 2019
Action Type Old Value New Value Added CWE CERT/CC CWE-502 -
Initial Analysis by [email protected]
Aug. 07, 2018
Action Type Old Value New Value Added CVSS V2 (AV:N/AC:M/Au:N/C:P/I:P/A:P) Added CVSS V3 AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H Changed Reference Type https://www.kb.cert.org/vuls/id/307983 No Types Assigned https://www.kb.cert.org/vuls/id/307983 Third Party Advisory, US Government Resource Changed Reference Type https://www.securityfocus.com/bid/97376 No Types Assigned https://www.securityfocus.com/bid/97376 Third Party Advisory, VDB Entry Changed Reference Type https://codewhitesec.blogspot.com/2017/04/amf.html No Types Assigned https://codewhitesec.blogspot.com/2017/04/amf.html Exploit, Mitigation, Third Party Advisory Changed Reference Type http://www.securityweek.com/flaws-java-amf-libraries-allow-remote-code-execution No Types Assigned http://www.securityweek.com/flaws-java-amf-libraries-allow-remote-code-execution Third Party Advisory Added CWE CWE-502 Added CPE Configuration OR *cpe:2.3:a:pivotal:spring-flex:*:*:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2017-3203 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-2017-3203
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
5.96 }} -0.01%
score
0.93365
percentile