CWE-333 Variant Draft Low likelihood

Improper Handling of Insufficient Entropy in TRNG

This vulnerability occurs when a system fails to properly manage the limited or unpredictable output rate of a true random number generator (TRNG), potentially causing failures, delays, or weakened…

Definition

What is CWE-333?

This vulnerability occurs when a system fails to properly manage the limited or unpredictable output rate of a true random number generator (TRNG), potentially causing failures, delays, or weakened security.
True Random Number Generators (TRNGs) rely on unpredictable physical processes, like electronic noise, to produce entropy. Unlike software-based generators, their output rate is inherently limited and can sometimes stall if the entropy source is exhausted, causing applications to hang or fail when they demand random data faster than the hardware can supply. For security-critical operations, such as cryptographic key generation or session token creation, this limitation is a major risk. Developers must design their systems to handle these slow or blocked states gracefully—for example, by using TRNG output only to seed cryptographically secure pseudorandom number generators (CSPRNGs)—and avoid using TRNGs directly in performance-sensitive or synchronous loops where a delay could break functionality.
Real-world impact

Real-world CVEs caused by CWE-333

No public CVE references are linked to this CWE in MITRE's catalog yet.

How attackers exploit it

Step-by-step attacker path

  1. 1

    Identify a code path that handles untrusted input without validation.

  2. 2

    Craft a payload that exercises the unsafe behavior — injection, traversal, overflow, or logic abuse.

  3. 3

    Deliver the payload through a normal request and observe the application's reaction.

  4. 4

    Iterate until the response leaks data, executes attacker code, or escalates privileges.

Vulnerable code example

Vulnerable C

This code uses a TRNG to generate a unique session id for new connections to a server:

Vulnerable C
while (1){
  		if (haveNewConnection()){
  			if (hwRandom()){
  				int sessionID = hwRandom();
  				createNewConnection(sessionID);
  			} } }
Secure code example

Secure pseudo

Secure pseudo
// Validate, sanitize, or use a safe API before reaching the sink.
function handleRequest(input) {
  const safe = validateAndEscape(input);
  return executeWithGuards(safe);
}
What changed: the unsafe sink is replaced (or the input is validated/escaped) so the same payload no longer triggers the weakness.
Prevention checklist

How to prevent CWE-333

  • Implementation Rather than failing on a lack of random numbers, it is often preferable to wait for more numbers to be created.
Detection signals

How to detect CWE-333

SAST High

Run static analysis (SAST) on the codebase looking for the unsafe pattern in the data flow.

DAST Moderate

Run dynamic application security testing against the live endpoint.

Runtime Moderate

Watch runtime logs for unusual exception traces, malformed input, or authorization bypass attempts.

Code review Moderate

Code review: flag any new code that handles input from this surface without using the validated framework helpers.

CWE-333

Don't catalog this weakness. Prove it's reachable.

Plexicus turns CWE catalogs into evidence: every CWE-pattern is matched against your real code graph, reach is proven on a sandbox clone, and verified findings ship as reviewed PRs.

Frequently asked questions

Frequently asked questions

What is CWE-333?

This vulnerability occurs when a system fails to properly manage the limited or unpredictable output rate of a true random number generator (TRNG), potentially causing failures, delays, or weakened security.

How serious is CWE-333?

MITRE rates the likelihood of exploit as Low — exploitation is uncommon, but the weakness should still be fixed when discovered.

What languages or platforms are affected by CWE-333?

MITRE has not specified affected platforms for this CWE — it can apply across most application stacks.

How can I prevent CWE-333?

Rather than failing on a lack of random numbers, it is often preferable to wait for more numbers to be created.

How does Plexicus detect and fix CWE-333?

Plexicus's SAST engine matches the data-flow signature for CWE-333 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-333?

MITRE publishes the canonical definition at https://cwe.mitre.org/data/definitions/333.html. You can also reference OWASP and NIST documentation for adjacent guidance.

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SAMPLE HANDOVER · ILLUSTRATIVE

Sample evidence handover

A trimmed view of what your team receives at the end of an AI Swarm Pentest engagement. Real engagements include full technical evidence, executive narrative, and a remediation plan.

VALIDATED FINDING Evidence attached

Server-Side Request Forgery in webhooks/receiver

demo-project/sample-app · src/webhooks/receiver.py:42

SeverityHigh CVSS 3.18.6 Priority79 Confirmedvia replay

Untrusted caller-supplied URLs reach an internal egress without an allowlist. Replayed in a sandbox against a fresh authorised target — the same control was validated to fail twice.

REVIEWER-READY REMEDIATION Merge-ready PR

Validate the target URL against an allowlist of permitted hostnames. Reject private/internal IP ranges. Enforce HTTPS only.

plexicus/remediation/webhooks-ssrf 3 changed · 0 new files
42resp = requests.get(target_url)
42+if not is_allowed_host(target_url):
43+  raise WebhookRejected(target_url)
44+resp = requests.get(target_url, timeout=5)
Every engagement hands over:
  • Executive briefing
  • Validated findings list
  • Merge-ready PRs
  • Compliance mapping (NIS2 · DORA · CRA)