Generation of Predictable Numbers or Identifiers

Opis

The product uses a scheme that generates numbers or identifiers that are more predictable than required.

Skutki

• Other

  Varies by Context

Przykłady podatności

• CVE-2022-29330 Product for administering PBX systems uses predictable identifiers and timestamps for filenames (CWE-340) which allows attackers to access files via direct request (CWE-425).
• CVE-2001-1141 PRNG allows attackers to use the output of small PRNG requests to determine the internal state information, which could be used by attackers to predict future pseudo-random numbers.
• CVE-1999-0074 Listening TCP ports are sequentially allocated, allowing spoofing attacks.

Słabość nadrzędna

• CWE-330 Use of Insufficiently Random Values

Może prowadzić do

• CWE-384 Session Fixation

Słabości podrzędne

• CWE-341 Predictable from Observable State
• CWE-342 Predictable Exact Value from Previous Values
• CWE-343 Predictable Value Range from Previous Values

Kiedy powstaje

• Architecture and Design
• Implementation

Dotyczy

Not Language-Specific

Uwagi

As of CWE 4.5, terminology related to randomness, entropy, and predictability can vary widely. Within the developer and other communities, "randomness" is used heavily. However, within cryptography, "entropy" is distinct, typically implied as a measurement. There are no commonly-used definitions, even within standards documents and cryptography papers. Future versions of CWE will attempt to define these terms and, if necessary, distinguish between them in ways that are appropriate for different communities but do not reduce the usability of CWE for mapping, understanding, or other scenarios.

Źródła

1. 24 Deadly Sins of Software Security — Michael Howard, David LeBlanc, John Viega, "Sin 20: Weak Random Numbers." Page 299, McGraw-Hill, 2010