Fuzz testing (fuzzing) is a powerful technique for generating large numbers of diverse inputs - either randomly or algorithmically - and dynamically invoking the code with those inputs. Even with random inputs, it is often capable of generating unexpected results such as crashes, memory corruption, or resource consumption. Fuzzing effectively produces repeatable test cases that clearly indicate bugs, which helps developers to diagnose the issues.
Improper Control of Dynamically-Managed Code Resources
This vulnerability occurs when an application fails to properly secure access to code resources that can be created or altered at runtime, such as variables, functions, or objects.
What is CWE-913?
Real-world CVEs caused by CWE-913
-
Python compiler uses eval() to execute malicious strings as Python code.
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Cryptography API uses unsafe reflection when deserializing a private key
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Deserialization issue in commonly-used Java library allows remote execution.
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Chain: extract used for register_globals compatibility layer, enables path traversal (CWE-22)
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Source version control product allows modification of trusted key using mass assignment.
Step-by-step attacker path
- 1
Identify a code path that handles untrusted input without validation.
- 2
Craft a payload that exercises the unsafe behavior — injection, traversal, overflow, or logic abuse.
- 3
Deliver the payload through a normal request and observe the application's reaction.
- 4
Iterate until the response leaks data, executes attacker code, or escalates privileges.
Vulnerable pseudo
MITRE has not published a code example for this CWE. The pattern below is illustrative — see Resources for canonical references.
// Example pattern — see MITRE for the canonical references.
function handleRequest(input) {
// Untrusted input flows directly into the sensitive sink.
return executeUnsafe(input);
} Secure pseudo
// Validate, sanitize, or use a safe API before reaching the sink.
function handleRequest(input) {
const safe = validateAndEscape(input);
return executeWithGuards(safe);
} How to prevent CWE-913
- Implementation For any externally-influenced input, check the input against an allowlist of acceptable values.
- Implementation / Architecture and Design Refactor the code so that it does not need to be dynamically managed.
How to detect CWE-913
Plexicus auto-detects CWE-913 and opens a fix PR in under 60 seconds.
Codex Remedium scans every commit, identifies this exact weakness, and ships a reviewer-ready pull request with the patch. No tickets. No hand-offs.
Frequently asked questions
What is CWE-913?
This vulnerability occurs when an application fails to properly secure access to code resources that can be created or altered at runtime, such as variables, functions, or objects.
How serious is CWE-913?
MITRE has not published a likelihood-of-exploit rating for this weakness. Treat it as medium-impact until your threat model proves otherwise.
What languages or platforms are affected by CWE-913?
MITRE has not specified affected platforms for this CWE — it can apply across most application stacks.
How can I prevent CWE-913?
For any externally-influenced input, check the input against an allowlist of acceptable values. Refactor the code so that it does not need to be dynamically managed.
How does Plexicus detect and fix CWE-913?
Plexicus's SAST engine matches the data-flow signature for CWE-913 on every commit. When a match is found, our Codex Remedium agent opens a fix PR with the corrected code, tests, and a one-line summary for the reviewer.
Where can I learn more about CWE-913?
MITRE publishes the canonical definition at https://cwe.mitre.org/data/definitions/913.html. You can also reference OWASP and NIST documentation for adjacent guidance.
Weaknesses related to CWE-913
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