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Hardware-independent automotive software testing

Automate your software testing with an AI-driven fuzzing platform for early bug and vulnerability detection, all without hardware dependencies. Enable your developers to reproduce and fix issues in minutes, not weeks.

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Three reasons to elevate your automotive software security with fuzz testing

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Find critical bugs and their root cause in minutes

White-box fuzzing is the fastest way to detect memory corruption errors and find their root cause. It analyzes source code and shows exactly where and how an issue occurs.

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Enable Software-in-the-Loop testing

With Code Intelligence, you can test Classic AUTOSAR Applications at the system level by using our simulator and identify real-time bugs without the need for specialized hardware.

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Comply with industry standards

Fuzz testing is highly recommended by ISO/SAE 21434 'Road vehicles — Cybersecurity engineering', and Automotive SPICE for Cybersecurity.

“One of the biggest advantages of instrumented fuzz testing is that you can execute your code in a Software-in-the-Loop simulator. My favourite part of instrumented fuzzing is that finding the root cause is so easy, and for a manager, it means I can save budget.”
Michael von Wenckstern 2024
Michael Von WencksternProduct Cybersecurity Governance, Risk and Compliance Specialist, Continental AG
"Thanks to Code Intelligence fuzzing approaches, our security testing became significantly more effective. All our developers are now able to fix business critical bugs early in the development process, without false-positives."

 

Andreas Weichslgartner
Andreas WeichslgartnerSenior Technical Security Engineer, CARIAD
”Thanks to Code Intelligence we were able to remediate deeply hidden issues, allowing us to ensure our vehicular software’s optimal functionality and safety. Coming up with the right unit tests for these cases would have been super difficult. With Code Intelligence’s AI-powered tests, we had the first finding within hours!”
saleh-heydari
Saleh HeydariVP of Software Engineering, XOS Trucks
”Code Intelligence helps developers ship secure software by providing the necessary integrations to test their code at each pull request, without ever having to leave their favorite environment. It's like having an automated security expert always by your side.”
thomas-dohmke
Thomas DohmkeCEO, GitHub

Fuzz Testing with Code Intelligence

Secure your automotive software with an AI-automated fuzzing solution by Code Intelligence. Ensure compliance with ISO 21434 testing requirements.
Examples of CWEs uncovered

Find what others miss – and get it fixed

Find safety and security issues like memory corruption, crashes, and runtime bugs. CI Fuzz automatically generates thousands of test scenarios to examine your code during runtime, pinpointing exactly where bugs are hidden and what triggers them. That helps quickly reproduce and fix issues.
Click here to see the full list of vulnerabilities you can find with CI Fuzz.
CWE-119 Improper Restriction of Operations Within the Bounds of a Memory Buffer CWE-416 Use After Free
CWE-823 Use of Out-of-Range Pointer Offset CWE-476 NULL Pointer Dereference
CWE-786 Access of Memory Location Before Start of Buffer CWE-590 Free Memory Not on the Heap
CWE-680 Integer Overflow to Buffer Overflow CWE-362 Signal Handler Race Condition
CWE-466 Return of Pointer Value Outside of Expected Range CWE-366 Race Condition Within a Thread
CWE-787  Out-of-Bounds Write CWE-367 Time-of-Check Time-of-Use (TOCTOU) Race Condition
CWE-125 Out-of-Bounds Read CWE-368 Context Switching Race Condition
CWE-129 Improper Validation of Array Index CWE-421 Race Condition During Access to Alternate Channel
CWE-193 Incorrect Calculation of Buffer Size CWE-1223 Context Switching Race Condition
CWE-193 Off-by-One Error CWE-662 Improper Synchronization
CWE-195 Signed to Unsigned Conversion Error CWE-758 Reliance on Undefined, Unspecified, or Implementation-Defined Behavior
CWE-839 Numeric Range Comparison Without Minimum Check CWE-562 Return of Stack Variable Address
CWE-843 Access of Resource Using Incompatible Type ("Type Confusion") CWE-587 Assignment of a Fixed Address to a Pointer
CWE-1257 Improper Access Control Applied to Mirrored or Aliased Memory Ranges CWE-588 Attempt to Access Child of a Non-Structure Pointer
CWE-190 Integer Overflow or Wraparound CWE-1102 Reliance on Machine-Dependent Third-Party Components
CWE-20 Improper Input Validation CWE-1105 Insufficient Encapsulation of Machine-Dependent Functionality
CWE-415 Double Free    

From start to findings – with one command

Save up to 1.000 hours of manual work by launching and running fuzz tests with a single command.  Spark, an AI Test Agent, will automatically run fuzz tests until it meets your pre-defined code coverage goal.
AI Test Agent

Don’t just comply – make your product robust

By using CI Fuzz, you not only comply with ISO 21434, ASPICE for Cybersecurity, and customer requirements but also implement state-of-the-art testing technology used by companies like Google and Microsoft. Thus, you deliver higher-quality products that your customers have complete confidence in.

See AI-Automated Fuzz Testing In Action

 

Book your free demo with one of our senior engineers now and take the first step towards robust, secure software development with Code Intelligence.

  • Automate software testing for embedded systems.
  • Detect critical bugs & vulnerabilities early in the development.
  • Uncover only actual issues without false positives.
  • Enable developers to reproduce & fix issues in minutes, not weeks.
  • Ensure compliance with industry standards.

Why Static Code Analysis alone can't prevent all vulnerabilities

1. Static Analysis (SAST) generates many false positives.
It reports issues that aren’t actually a problem and produces duplicates.

2. Static Analysis can’t detect all types of vulnerabilities.
Because it doesn’t analyze the program during execution, SAST can’t detect dynamic or runtime-specific issues such as complex buffer overflows, use-after-free, double-free errors, heap corruption, and others.

Learn more about its limitation and how to overcome them with fuzz testing by downloading a free copy of the white paper.

White paper - Fuzz Testing + Staticc Analysis (Mockup)

Security resources

Vector

White paper - How Fuzzing Complements Static Analysis

An automotive supplier using static code analysis detects 32% of bugs solely through fuzzing. Learn why static analysis isn't enough and how fuzzing complements it when testing automotive software. 
Vector

CARIAD Improves Secure Software Development

Getting ready for ISO 21434: CARIAD evaluated new testing approaches, to improve Volkswagen's software security.
Vector

White paper - Fuzz testing in ISO/SAE 21434

Even though the recommendations for ISO/SAE 21434 are not legally binding in practice, automotive companies often find themselves obligated to comply. Learn in this paper how fuzz testing can support you in achieving compliance.