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Attack Surface Analysis for mozilla/pdf.js

Attack Surface: PDF Parsing Vulnerabilities

Description: Flaws in the logic pdf.js uses to interpret and process the structure of PDF files. These vulnerabilities are within the pdf.js parsing code itself.

  • pdf.js Contribution: pdf.js is the component responsible for parsing the complex PDF format. Bugs in its parsing algorithms are direct vulnerabilities.
  • Example: A maliciously crafted PDF with a deeply nested object structure causes a stack overflow in pdf.js during parsing, leading to a crash or potentially remote code execution within pdf.js.
  • Impact: Denial of Service (DoS), potentially Remote Code Execution (RCE) if memory corruption is exploitable within the pdf.js process.
  • Risk Severity: High to Critical (depending on exploitability for RCE)

Attack Surface: Font Handling Vulnerabilities

Description: Flaws in how pdf.js processes and renders fonts embedded within PDF documents. These vulnerabilities are within pdf.js's font parsing and rendering code.

  • pdf.js Contribution: pdf.js must parse and render various font formats used in PDFs. Vulnerabilities in font handling within pdf.js can be exploited.
  • Example: A malicious PDF contains a crafted font file that, when parsed by pdf.js, triggers a buffer overflow in pdf.js's font parsing routines, leading to a crash or potentially remote code execution.
  • Impact: Denial of Service (DoS), potentially Remote Code Execution (RCE) due to vulnerabilities in pdf.js font handling.
  • Risk Severity: High to Critical (depending on exploitability for RCE)

Attack Surface: Image Handling Vulnerabilities

Description: Flaws in how pdf.js processes and renders images embedded within PDF documents. These vulnerabilities are within pdf.js's image processing code or its use of image libraries.

  • pdf.js Contribution: pdf.js handles parsing and rendering various image formats embedded in PDFs. Vulnerabilities in image processing within pdf.js or its image handling dependencies can be exploited.
  • Example: A malicious PDF contains a crafted JPEG image that, when processed by pdf.js, triggers a memory corruption vulnerability in the image decoding library used by pdf.js, leading to a crash or potentially remote code execution.
  • Impact: Denial of Service (DoS), potentially Remote Code Execution (RCE) due to image processing vulnerabilities triggered by pdf.js.
  • Risk Severity: High to Critical (depending on exploitability for RCE)

Attack Surface: JavaScript in PDFs (If Enabled - CRITICAL)

Description: Execution of JavaScript code embedded within PDF documents due to misconfiguration or vulnerabilities in pdf.js that bypass the intended JavaScript disabling.

  • pdf.js Contribution: While pdf.js disables JavaScript by default, misconfiguration of pdf.js or vulnerabilities within pdf.js could lead to its unintended execution.
  • Example: If JavaScript execution is accidentally enabled in pdf.js configuration, or a vulnerability in pdf.js bypasses the JavaScript disabling mechanism, a malicious PDF containing JavaScript can execute arbitrary code in the user's browser.
  • Impact: Cross-Site Scripting (XSS), Account Takeover, Data Theft, Full Compromise due to arbitrary JavaScript execution enabled or bypassed via pdf.js.
  • Risk Severity: Critical

Attack Surface: Outdated pdf.js Version

Description: Using an old version of pdf.js that contains known security vulnerabilities within pdf.js itself.

  • pdf.js Contribution: Using an outdated version directly exposes the application to vulnerabilities that are present in that specific version of pdf.js and have been fixed in newer versions.
  • Example: An application uses an old version of pdf.js with a known buffer overflow vulnerability in PDF parsing within pdf.js code. An attacker exploits this vulnerability using a crafted PDF to gain remote code execution by exploiting the known pdf.js vulnerability.
  • Impact: Varies depending on the vulnerability, can range from DoS to RCE based on the specific pdf.js vulnerability.
  • Risk Severity: High to Critical (depending on the known vulnerabilities)