CVE-2026-25535 (GCVE-0-2026-25535)
Vulnerability from cvelistv5 – Published: 2026-02-19 14:34 – Updated: 2026-09-07 12:04
VLAI
EPSS
VEX
Title
jsPDF Affected by Client-Side/Server-Side Denial of Service via Malicious GIF Dimensions
Summary
jsPDF is a library to generate PDFs in JavaScript. Prior to 4.2.0, user control of the first argument of the `addImage` method results in denial of service. If given the possibility to pass unsanitized image data or URLs to the `addImage` method, a user can provide a harmful GIF file that results in out of memory errors and denial of service. Harmful GIF files have large width and/or height entries in their headers, which lead to excessive memory allocation. Other affected methods are: `html`. The vulnerability has been fixed in jsPDF 4.2.0. As a workaround, sanitize image data or URLs before passing it to the addImage method or one of the other affected methods.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-19 16:03 UTC
CWE
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://github.com/parallax/jsPDF/security/adviso… | x_refsource_CONFIRM |
| https://github.com/parallax/jsPDF/commit/2e5e156e… | x_refsource_MISC |
| https://github.com/ZeroXJacks/CVEs/blob/main/2026… | x_refsource_MISC |
| https://github.com/parallax/jsPDF/releases/tag/v4.2.0 | x_refsource_MISC |
| https://access.redhat.com/security/cve/CVE-2026-25535 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2440992 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:7110 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:7128 | vendor-advisoryx_refsource_REDHAT |
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| parallax | jsPDF |
Affected:
< 4.2.0
|
guessed | |
| Red Hat | Red Hat Advanced Cluster Security 4.8 |
Unaffected:
1775594119 , < *
(rpm)
cpe:/a:redhat:advanced_cluster_security:4.8::el8 |
||
| Red Hat | Red Hat Advanced Cluster Security 4.9 |
Unaffected:
1775594284 , < *
(rpm)
cpe:/a:redhat:advanced_cluster_security:4.9::el8 |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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