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CWE Reference

CWE-339: Small Seed Space in PRNG | Glexia

CWE-339 (Small Seed Space in PRNG) weakness overview with consequences, detection methods, mitigations, related CVEs and MITRE ATT&CK context.

Release 4.20weaknessDraft

Glexia's Take · Automated analysis

CWE-339: Small Seed Space in PRNG

Small Seed Space in PRNG represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.

Executive Impact

  • Other: Varies by Context

Developer Pattern

CWE-339 is the kind of defect developers can usually prevent with explicit validation, safer framework defaults, and tests that exercise hostile input or unsafe state transitions.

Automation confidence

high confidence from CWE-339, 4.20.

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Official CWE Definition

CWE-339: Small Seed Space in PRNG

A Pseudo-Random Number Generator (PRNG) uses a relatively small seed space, which makes it more susceptible to brute force attacks.

PRNGs are entirely deterministic once seeded, so it should be extremely difficult to guess the seed. If an attacker can collect the outputs of a PRNG and then brute force the seed by trying every possibility to see which seed matches the observed output, then the attacker will know the output of any subsequent calls to the PRNG. A small seed space implies that the attacker will have far fewer possible values to try to exhaust all possibilities.

Type
weakness
Abstraction
Variant
Status
Draft
Source
MITRE CWE definition

Developer And Remediation Guidance

How teams prevent and detect this weakness

Causes

  • This code grabs some random bytes and uses them for a seed in a PRNG, in order to generate a new cryptographic key. Since only 2 bytes are used as a seed, an attacker will only need to guess 2^16 (65,536) values before being able to replicate the state of the PRNG.

Remediation

  • Architecture and Design: Use well vetted pseudo-random number generating algorithms with adequate length seeds. Pseudo-random number generators can produce predictable numbers if the generator is known and the seed can be guessed. A 256-bit seed is a good starting point for producing a "random enough" number.
  • Architecture and Design Requirements: Use products or modules that conform to FIPS 140-2 [REF-267] to avoid obvious entropy problems, or use the more recent FIPS 140-3 [REF-1192] if possible.

Detection

  • Code review
  • SAST
  • DAST
  • Focused regression tests

Mappings

Related CVEs, CWEs, and ATT&CK context

Related CWEs

Related CVEs

Related CVE mappings appear after CVE records are cross-indexed.

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ATT&CK Relevance

ATT&CK relevance is shown only when reviewed or responsibly inferred.