CVE-2023-39020

stanford-parser v3.9.2 and below was discovered to contain a code injection vulnerability in the component edu.stanford.nlp.io.getBZip2PipedInputStream

published July 28, 2023

CVSS
โ€”
EPSS
1%
Percentile
63.7
In the wild
Unconfirmed
What it is

โš ๏ธ A sneaky unchecked argument in the Stanford Parser could let attackers perform code injections! This means a single misstep could lead to chaos. ๐Ÿ’ฅ Think of it like a restaurant where the chef accepts any random ingredient without checking if it's safe โ€” one bad apple could spoil the entire dish! If exploited, an attacker could sneak in malicious code that might change how the parser operates, potentially leading to data breaches or corrupted outputs. While not exploited just yet, the implications could be serious if left unaddressed!

Put simply

Think of it like a restaurant where the chef accepts any random ingredient without checking if it's safe โ€” one bad apple could spoil the entire dish! This vulnerability in stanford-parser v3.9.2 and below allows for code injection through an unchecked argument in the edu.stanford.nlp.io.getBZip2PipedInputStream component, making it a prime target for exploitation if misused.

What to do

If exploited, an attacker could sneak in malicious code that might change how the parser operates, potentially leading to data breaches or corrupted outputs. While not exploited just yet, the implications could be serious if left unaddressed! To protect your applications, update the Stanford Parser to the latest version beyond v3.9.2. Also, consider implementing strict input validation to prevent unchecked arguments from being processed. You've got this! Follow these steps and you'll have your systems secured in no time. ๐Ÿ›ก๏ธ

The record
Technical detail
CVSS
Not scored
CVSS v4.0
Not supplied
EPSS
0.01040 ยท 63.7th percentile
Published
2023-07-28T00:00Z
EPSS history
Timeline
  • 28 JUL 00:00Z
    stanford-parser v3.9.2 and below was discovered to contain a code injection vulnerability in the component edu.stanford.nlp.io.getBZip2PipedInputStream
    cvelistv5