Executive Summary
In January 2026, a critical vulnerability (CVE-2025-68428) was uncovered in the popular JavaScript PDF generation library jsPDF, impacting its Node.js builds prior to version 4.0. Attackers could exploit improper input validation in the 'loadFile' function, enabling local file inclusion and path traversal. If user-controlled data was passed as a file path to certain methods, sensitive local files could be incorporated into generated PDFs, risking data exposure or exfiltration. The flaw's severity score of 9.2 reflects the widespread use of jsPDF—over 3.5 million weekly downloads—as well as the supply-chain risk to downstream applications that integrated vulnerable versions.
This incident highlights the persistent risk associated with supply-chain dependencies and their indirect impact on downstream systems. With development teams increasingly relying on open-source libraries, vulnerabilities like CVE-2025-68428 demonstrate the urgent need for vendor diligence, dependency hygiene, and layered input validation in modern application stacks.
Why This Matters Now
Software supply-chain threats continue to grow as attackers target widely adopted open-source components to reach many victims at once. The jsPDF incident epitomizes the urgency for organizations to assess and patch vulnerable dependencies, strengthen configuration management, and incorporate rigorous code review for trusted and third-party libraries.
Attack Path Analysis
The attack began when an adversary exploited a vulnerability (CVE-2025-68428) in the Node.js build of the jsPDF library, gaining unauthorized access via supply-chain compromise. Using unsanitized user input to manipulate file paths, the attacker achieved code execution to escalate privileges and read sensitive local files. They then leveraged accessible application resources to move laterally, potentially reaching additional workloads in the cloud. Maliciously crafted PDFs were generated and distributed, establishing covert communication channels for command and control. Confidential or sensitive data embedded within these PDFs was subsequently exfiltrated to external destinations. Ultimately, the impact included unauthorized disclosure of secrets and potential business risk to affected organizations.
Kill Chain Progression
Initial Compromise
Description
Attacker exploited vulnerable versions of jsPDF in affected Node.js applications via supply-chain compromise by sending crafted input to trigger a local file inclusion and path traversal flaw.
Related CVEs
CVE-2025-68428
CVSS 9.2A path traversal vulnerability in jsPDF's Node.js builds allows attackers to read arbitrary files from the local filesystem by passing unsanitized paths to methods like loadFile, addImage, html, and addFont, embedding their contents into generated PDFs.
Affected Products:
Parallax jsPDF – < 4.0.0
Exploit Status:
no public exploit
MITRE ATT&CK® Techniques
Exploit Public-Facing Application
User Execution: Malicious File
Data from Local System
Hijack Execution Flow: DLL Search Order Hijacking
Data Manipulation: Stored Data Manipulation
Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol
Command and Scripting Interpreter: JavaScript
Potential Compliance Exposure
Mapping incident impact across multiple compliance frameworks.
PCI DSS 4.0 – Security of System Components and Software
Control ID: 6.2.2
NYDFS 23 NYCRR 500 – Cybersecurity Policy
Control ID: 500.03
DORA (Digital Operational Resilience Act) – ICT Risk Management
Control ID: Art. 10
CISA ZTMM 2.0 – Application Configuration Management
Control ID: Applications – Configuration Management
NIS2 Directive – Supply Chain Security
Control ID: Article 21(2)c
Sector Implications
Industry-specific impact of the vulnerabilities, including operational, regulatory, and cloud security risks.
Computer Software/Engineering
Critical jsPDF supply-chain vulnerability enables local file inclusion attacks, threatening software development workflows and requiring immediate Node.js security updates.
Financial Services
Path traversal flaw in PDF generation library risks exposing sensitive financial data through document workflows, violating compliance requirements like PCI.
Health Care / Life Sciences
Healthcare PDF generation systems vulnerable to data exfiltration attacks, potentially exposing patient records and violating HIPAA encryption requirements.
Information Technology/IT
Widespread jsPDF deployment across IT infrastructure creates significant attack surface for file system access and sensitive data theft vulnerabilities.
Sources
- Critical jsPDF flaw lets hackers steal secrets via generated PDFshttps://www.bleepingcomputer.com/news/security/critical-jspdf-flaw-lets-hackers-steal-secrets-via-generated-pdfs/Verified
- NVD - CVE-2025-68428https://nvd.nist.gov/vuln/detail/CVE-2025-68428Verified
- GitHub Security Advisory: GHSA-f8cm-6447-x5h2https://github.com/parallax/jsPDF/security/advisories/GHSA-f8cm-6447-x5h2Verified
- CVE-2025-68428: Critical Path Traversal in jsPDF | Blog | Endor Labshttps://www.endorlabs.com/learn/cve-2025-68428-critical-path-traversal-in-jspdfVerified
Frequently Asked Questions
Cloud Native Security Fabric Mitigations and ControlsCNSF
Applying CNSF and zero trust controls—such as strict network segmentation, real-time egress policy enforcement, inline threat detection, and multicloud visibility—would have limited this attack’s blast radius, detected abnormal access, and prevented exfiltration of sensitive data. These approaches ensure only authorized workloads communicate and prevent unintended data exposure via policy-driven controls.
Control: Cloud Native Security Fabric (CNSF)
Mitigation: Early detection of anomalous package behavior and control plane policy violations.
Control: Zero Trust Segmentation
Mitigation: Restricted application-level privileges limit file system access and blast radius.
Control: East-West Traffic Security
Mitigation: Unauthorized workload-to-workload and inter-service movement is detected and blocked.
Control: Cloud Firewall (ACF)
Mitigation: Outbound command and control traffic is filtered and anomalous traffic patterns are flagged.
Control: Egress Security & Policy Enforcement
Mitigation: Sensitive outbound data flows are detected, quarantined, or prevented.
Anomalous data and workflow behaviors are detected and responded to promptly.
Impact at a Glance
Affected Business Functions
- Document Generation
- Data Processing
Estimated downtime: 3 days
Estimated loss: $50,000
Potential exposure of sensitive configuration files, environment variables, and credentials embedded into generated PDFs, leading to unauthorized disclosure of confidential information.
Recommended Actions
Key Takeaways & Next Steps
- • Immediately upgrade vulnerable jsPDF libraries and implement strict allowlists or input sanitization for all user-supplied file paths.
- • Enforce zero trust segmentation and workload isolation to block unauthorized east-west movement within and between sensitive application namespaces.
- • Deploy granular egress policy controls and traffic filtering to prevent unauthorized data exfiltration via generated file exports or covert channels.
- • Continuously monitor for anomalous behaviors—including unexpected file reads or traffic patterns—using CNSF-based threat detection and baselining.
- • Ensure centralized multicloud visibility and policy governance to rapidly detect, contain, and remediate future supply-chain or dependency-based threats.
