Các cách xuất hiện
Implementation : REALIZATION: This weakness is caused during implementation of an architectural security tactic.
Nền tảng áp dụng
Ngôn ngữ
Lớp: Not Language-Specific (Undetermined)
Hậu quả phổ biến
| Phạm vi |
Tác động |
Khả năng xảy ra |
| Other | Bypass Protection Mechanism, Varies by Context
Ghi chú: The use of predictable seeds significantly reduces the number of possible seeds that an attacker would need to test in order to predict which random numbers will be generated by the PRNG. A protection mechanism that depends on a PRNG could be compromised. | |
Ví dụ đã quan sát
| Tài liệu tham khảo |
Mô tả |
| Cloud application on Kubernetes generates passwords using a weak random number generator based on deployment time. |
| server uses erlang:now() to seed the PRNG, which
results in a small search space for potential random
seeds |
| The removal of a couple lines of code caused Debian's OpenSSL Package to only use the current process ID for seeding a PRNG |
| Router's PIN generation is based on rand(time(0)) seeding. |
| cloud provider product uses a non-cryptographically secure PRNG and seeds it with the current time |
Các biện pháp giảm thiểu tiềm năng
Use non-predictable inputs for seed generation.
Phases : 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.
Phases : Implementation
Use a PRNG that periodically re-seeds itself using input from high-quality sources, such as hardware devices with high entropy. However, do not re-seed too frequently, or else the entropy source might block.
Phương pháp phát hiện
Automated Static Analysis
Automated static analysis, commonly referred to as Static Application Security Testing (SAST), can find some instances of this weakness by analyzing source code (or binary/compiled code) without having to execute it. Typically, this is done by building a model of data flow and control flow, then searching for potentially-vulnerable patterns that connect "sources" (origins of input) with "sinks" (destinations where the data interacts with external components, a lower layer such as the OS, etc.)
Ghi chú ánh xạ lỗ hổng
Lý do : This CWE entry is at the Variant level of abstraction, which is a preferred level of abstraction for mapping to the root causes of vulnerabilities.
Bình luận : Carefully read both the name and description to ensure that this mapping is an appropriate fit. Do not try to 'force' a mapping to a lower-level Base/Variant simply to comply with this preferred level of abstraction.
Ghi chú
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.
Tài liệu tham khảo
REF-267
FIPS PUB 140-2: SECURITY REQUIREMENTS FOR CRYPTOGRAPHIC MODULES
Information Technology Laboratory, National Institute of Standards and Technology.
https://csrc.nist.gov/files/pubs/fips/140-2/upd2/final/docs/fips1402.pdf REF-1192
FIPS PUB 140-3: SECURITY REQUIREMENTS FOR CRYPTOGRAPHIC MODULES
Information Technology Laboratory, National Institute of Standards and Technology.
https://csrc.nist.gov/publications/detail/fips/140/3/final REF-44
24 Deadly Sins of Software Security
Michael Howard, David LeBlanc, John Viega.
Gửi
| Tên |
Tổ chức |
Ngày |
Ngày phát hành |
Version |
| PLOVER |
|
2006-07-19 +00:00 |
2006-07-19 +00:00 |
Draft 3 |
Sửa đổi
| Tên |
Tổ chức |
Ngày |
Bình luận |
| Sean Eidemiller |
Cigital |
2008-07-01 +00:00 |
added/updated demonstrative examples |
| Eric Dalci |
Cigital |
2008-07-01 +00:00 |
updated Time_of_Introduction |
| CWE Content Team |
MITRE |
2008-09-08 +00:00 |
updated Relationships, Taxonomy_Mappings |
| CWE Content Team |
MITRE |
2009-03-10 +00:00 |
updated Potential_Mitigations |
| CWE Content Team |
MITRE |
2009-12-28 +00:00 |
updated Potential_Mitigations |
| CWE Content Team |
MITRE |
2010-06-21 +00:00 |
updated Potential_Mitigations |
| CWE Content Team |
MITRE |
2011-06-01 +00:00 |
updated Common_Consequences, Relationships, Taxonomy_Mappings |
| CWE Content Team |
MITRE |
2011-06-27 +00:00 |
updated Common_Consequences |
| CWE Content Team |
MITRE |
2011-09-13 +00:00 |
updated Potential_Mitigations, References |
| CWE Content Team |
MITRE |
2012-05-11 +00:00 |
updated References, Relationships |
| CWE Content Team |
MITRE |
2012-10-30 +00:00 |
updated Demonstrative_Examples, Potential_Mitigations |
| CWE Content Team |
MITRE |
2017-11-08 +00:00 |
updated Applicable_Platforms, Demonstrative_Examples, Description, Modes_of_Introduction, Name, References, Relationships |
| CWE Content Team |
MITRE |
2019-01-03 +00:00 |
updated Relationships, Taxonomy_Mappings |
| CWE Content Team |
MITRE |
2019-06-20 +00:00 |
updated Type |
| CWE Content Team |
MITRE |
2020-02-24 +00:00 |
updated Description, Relationships |
| CWE Content Team |
MITRE |
2021-07-20 +00:00 |
updated Maintenance_Notes, Observed_Examples, Potential_Mitigations, References |
| CWE Content Team |
MITRE |
2021-10-28 +00:00 |
updated Relationships |
| CWE Content Team |
MITRE |
2022-10-13 +00:00 |
updated Observed_Examples |
| CWE Content Team |
MITRE |
2023-04-27 +00:00 |
updated References, Relationships, Time_of_Introduction |
| CWE Content Team |
MITRE |
2023-06-29 +00:00 |
updated Mapping_Notes, Relationships |
| CWE Content Team |
MITRE |
2025-09-09 +00:00 |
updated References |
| CWE Content Team |
MITRE |
2025-12-11 +00:00 |
updated Detection_Factors, Relationships, Weakness_Ordinalities |
| CWE Content Team |
MITRE |
2026-10-28 +00:00 |
updated Common_Consequences, Description |