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CVE-2025-57810VulnerabilityPublished

CVE-2025-57810: parallax jsPDF · Improper Input Validation

Affects parallax jsPDFSource CVE Database V5

0

Not known to be exploited · CVSS 8.7 High : upgrade to 3.0.2 soon.

Data as of 26 Oct 2026, 08:30 UTC

CVSS 4.0 base score
8.7High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.7% chance of exploitation in 30 days – higher than 52% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 3.0.2
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 26 Aug 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Upgrade parallax jsPDF to 3.0.2.

Affected software

ProductAffectedFixed in
parallax jsPDFAffected
  • <3.0.2
Fixed in
  • 3.0.2

AI-suggested

To mitigate this vulnerability, European organizations should immediately upgrade all instances of jsPDF to version 3.0.2 or later, where the input validation flaw has been fixed. Beyond patching, developers should implement strict input validation and sanitization on any user-supplied data passed to the addImage method, including verifying image formats and sizes before processing. Employing Web Application Firewalls (WAFs) with rules to detect and block anomalous or malformed image payloads can provide an additional layer of defense. Monitoring CPU utilization and application performance metrics can help detect early signs of exploitation attempts. It is also advisable to conduct code audits and dependency scans regularly to identify and remediate vulnerable library versions. For critical systems, consider isolating PDF generation processes or running them with limited resource quotas to minimize the impact of potential DoS attacks.

Description

jsPDF is a library to generate PDFs in JavaScript. Prior to 3.0.2, user control of the first argument of the addImage method results in CPU utilization and denial of service. If given the possibility to pass unsanitized image data or URLs to the addImage method, a user can provide a harmful PNG file that results in high CPU utilization and denial of service. The vulnerability was fixed in jsPDF 3.0.2.

References

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