fasterxml jackson-databind CVE-2017-15095 vulnerability in FasterXML and Other Products
Published on February 6, 2018

product logo product logo product logo product logo product logo product logo
A deserialization flaw was discovered in the jackson-databind in versions before 2.8.10 and 2.9.1, which could allow an unauthenticated user to perform code execution by sending the maliciously crafted input to the readValue method of the ObjectMapper. This issue extends the previous flaw CVE-2017-7525 by blacklisting more classes that could be used maliciously.

Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory Vendor Advisory NVD

Weakness Type

What is a Denylist / Deny List Vulnerability?

The product implements a protection mechanism that relies on a list of inputs (or properties of inputs) that are not allowed by policy or otherwise require other action to neutralize before additional processing takes place, but the list is incomplete, leading to resultant weaknesses. Developers often try to protect their products against malicious input by performing tests against inputs that are known to be bad, such as special characters that can invoke new commands. However, such lists often only account for the most well-known bad inputs. Attackers may be able to find other malicious inputs that were not expected by the developer, allowing them to bypass the intended protection mechanism.

CVE-2017-15095 has been classified to as a Denylist / Deny List vulnerability or weakness.


Products Associated with CVE-2017-15095

You can be notified by email with stack.watch whenever vulnerabilities like CVE-2017-15095 are published in these products:

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Affected Versions

FasterXML jackson-databind:

Exploit Probability

EPSS
9.26%
Percentile
92.56%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.