CWE Glossary Definition |
👁 x
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CWE-327: Use of a Broken or Risky Cryptographic Algorithm
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Weakness ID: 327
Vulnerability Mapping:
ALLOWED
This CWE ID could be used to map to real-world vulnerabilities in limited situations requiring careful review
(with careful review of mapping notes)
Abstraction:
Class
Class - a weakness that is described in a very abstract fashion, typically independent of any specific language or technology. More specific than a Pillar Weakness, but more general than a Base Weakness. Class level weaknesses typically describe issues in terms of 1 or 2 of the following dimensions: behavior, property, and resource.
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The product uses a broken or risky cryptographic algorithm or protocol.
Cryptographic algorithms are the methods by which data is scrambled to prevent observation or influence by unauthorized actors. Insecure cryptography can be exploited to expose sensitive information, modify data in unexpected ways, spoof identities of other users or devices, or other impacts.
It is very difficult to produce a secure algorithm, and even high-profile algorithms by accomplished cryptographic experts have been broken. Well-known techniques exist to break or weaken various kinds of cryptography. Accordingly, there are a small number of well-understood and heavily studied algorithms that should be used by most products. Using a non-standard or known-insecure algorithm is dangerous because a determined adversary may be able to break the algorithm and compromise whatever data has been protected.
Since the state of cryptography advances so rapidly, it is common for an algorithm to be considered "unsafe" even if it was once thought to be strong. This can happen when new attacks are discovered, or if computing power increases so much that the cryptographic algorithm no longer provides the amount of protection that was originally thought.
For a number of reasons, this weakness is even more challenging to manage with hardware deployment of cryptographic algorithms as opposed to software implementation. First, if a flaw is discovered with hardware-implemented cryptography, the flaw cannot be fixed in most cases without a recall of the product, because hardware is not easily replaceable like software. Second, because the hardware product is expected to work for years, the adversary's computing power will only increase over time.
👁 Section Help This table specifies different individual consequences
associated with the weakness. The Scope identifies the application security area that is
violated, while the Impact describes the negative technical impact that arises if an
adversary succeeds in exploiting this weakness. The Likelihood provides information about
how likely the specific consequence is expected to be seen relative to the other
consequences in the list. For example, there may be high likelihood that a weakness will be
exploited to achieve a certain impact, but a low likelihood that it will be exploited to
achieve a different impact.
| Impact |
Details |
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Read Application Data
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Scope: Confidentiality
The confidentiality of sensitive data may be compromised by the use of a broken or risky cryptographic algorithm.
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Modify Application Data
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Scope: Integrity
The integrity of sensitive data may be compromised by the use of a broken or risky cryptographic algorithm.
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Hide Activities
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Scope: Accountability, Non-Repudiation
If the cryptographic algorithm is used to ensure the identity of the source of the data (such as digital signatures), then a broken algorithm will compromise this scheme and the source of the data cannot be proven.
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👁 +
Potential Mitigations
| Phase(s) |
Mitigation |
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Architecture and Design
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Strategy: Libraries or Frameworks
When there is a need to store or transmit sensitive data, use strong, up-to-date cryptographic algorithms to encrypt that data. Select a well-vetted algorithm that is currently considered to be strong by experts in the field, and use well-tested implementations. As with all cryptographic mechanisms, the source code should be available for analysis.
For example, US government systems require FIPS 140-2 certification [REF-1192].
Do not develop custom or private cryptographic algorithms. They will likely be exposed to attacks that are well-understood by cryptographers. Reverse engineering techniques are mature. If the algorithm can be compromised if attackers find out how it works, then it is especially weak.
Periodically ensure that the cryptography has not become obsolete. Some older algorithms, once thought to require a billion years of computing time, can now be broken in days or hours. This includes MD4, MD5, SHA1, DES, and other algorithms that were once regarded as strong. [REF-267]
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Architecture and Design
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Ensure that the design allows one cryptographic algorithm to be replaced with another in the next generation or version. Where possible, use wrappers to make the interfaces uniform. This will make it easier to upgrade to stronger algorithms. With hardware, design the product at the Intellectual Property (IP) level so that one cryptographic algorithm can be replaced with another in the next generation of the hardware product.
Effectiveness: Defense in Depth
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Architecture and Design
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Carefully manage and protect cryptographic keys (see CWE-320). If the keys can be guessed or stolen, then the strength of the cryptography itself is irrelevant.
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Architecture and Design
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Strategy: Libraries or Frameworks
Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid [REF-1482].
Industry-standard implementations will save development time and may be more likely to avoid errors that can occur during implementation of cryptographic algorithms. Consider the ESAPI Encryption feature.
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Implementation; Architecture and Design
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When using industry-approved techniques, use them correctly. Don't cut corners by skipping resource-intensive steps ( CWE-325). These steps are often essential for preventing common attacks.
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👁 Section Help
This table shows the weaknesses and high level categories that are related to this
weakness. These relationships are defined as ChildOf, ParentOf, MemberOf and give insight to
similar items that may exist at higher and lower levels of abstraction. In addition,
relationships such as PeerOf and CanAlsoBe are defined to show similar weaknesses that the user
may want to explore.
👁 +
Relevant to the view "Research Concepts" (View-1000)
| Nature |
Type |
ID |
Name |
| ChildOf |
👁 Pillar
Pillar - a weakness that is the most abstract type of weakness and represents a theme for all class/base/variant weaknesses related to it. A Pillar is different from a Category as a Pillar is still technically a type of weakness that describes a mistake, while a Category represents a common characteristic used to group related things.
|
693
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Protection Mechanism Failure
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| ParentOf |
👁 Base
Base - a weakness that is still mostly independent of a resource or technology, but with sufficient details to provide specific methods for detection and prevention. Base level weaknesses typically describe issues in terms of 2 or 3 of the following dimensions: behavior, property, technology, language, and resource.
|
328
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Use of Weak Hash
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| ParentOf |
👁 Variant
Variant - a weakness that is linked to a certain type of product, typically involving a specific language or technology. More specific than a Base weakness. Variant level weaknesses typically describe issues in terms of 3 to 5 of the following dimensions: behavior, property, technology, language, and resource.
|
780
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Use of RSA Algorithm without OAEP
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| ParentOf |
👁 Base
Base - a weakness that is still mostly independent of a resource or technology, but with sufficient details to provide specific methods for detection and prevention. Base level weaknesses typically describe issues in terms of 2 or 3 of the following dimensions: behavior, property, technology, language, and resource.
|
1240
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Use of a Cryptographic Primitive with a Risky Implementation
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| PeerOf |
👁 Base
Base - a weakness that is still mostly independent of a resource or technology, but with sufficient details to provide specific methods for detection and prevention. Base level weaknesses typically describe issues in terms of 2 or 3 of the following dimensions: behavior, property, technology, language, and resource.
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301
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Reflection Attack in an Authentication Protocol
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| PeerOf |
👁 Class
Class - a weakness that is described in a very abstract fashion, typically independent of any specific language or technology. More specific than a Pillar Weakness, but more general than a Base Weakness. Class level weaknesses typically describe issues in terms of 1 or 2 of the following dimensions: behavior, property, and resource.
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311
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Missing Encryption of Sensitive Data
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| CanFollow |
👁 Base
Base - a weakness that is still mostly independent of a resource or technology, but with sufficient details to provide specific methods for detection and prevention. Base level weaknesses typically describe issues in terms of 2 or 3 of the following dimensions: behavior, property, technology, language, and resource.
|
208
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Observable Timing Discrepancy
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👁 +
Relevant to the view "Weaknesses for Simplified Mapping of Published Vulnerabilities" (View-1003)
| Nature |
Type |
ID |
Name |
| MemberOf |
👁 View
View - a subset of CWE entries that provides a way of examining CWE content. The two main view structures are Slices (flat lists) and Graphs (containing relationships between entries).
|
1003
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Weaknesses for Simplified Mapping of Published Vulnerabilities
|
| ParentOf |
👁 Base
Base - a weakness that is still mostly independent of a resource or technology, but with sufficient details to provide specific methods for detection and prevention. Base level weaknesses typically describe issues in terms of 2 or 3 of the following dimensions: behavior, property, technology, language, and resource.
|
916
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Use of Password Hash With Insufficient Computational Effort
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👁 +
Relevant to the view "Architectural Concepts" (View-1008)
| Nature |
Type |
ID |
Name |
| MemberOf |
👁 Category
Category - a CWE entry that contains a set of other entries that share a common characteristic.
|
1013
|
Encrypt Data
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👁 +
Modes
Of Introduction
👁 Section Help The different Modes of Introduction provide information
about how and when this
weakness may be introduced. The Phase identifies a point in the life cycle at which
introduction
may occur, while the Note provides a typical scenario related to introduction during the
given
phase.
| Phase |
Note |
| Architecture and Design |
COMMISSION: This weakness refers to an incorrect design related to an architectural security tactic. |
| Implementation |
With hardware, the Architecture or Design Phase might start with compliant cryptography, but it is replaced with a non-compliant crypto during the later Implementation phase due to implementation constraints (e.g., not enough entropy to make it function properly, or not enough silicon real estate available to implement). Or, in rare cases (especially for long projects that span over years), the Architecture specifications might start with cryptography that was originally compliant at the time the Architectural specs were written, but over the time it became non-compliant due to progress made in attacking the crypto. |
👁 +
Likelihood Of Exploit
👁 +
Demonstrative Examples
Example 1
These code examples use the Data Encryption Standard (DES).
(bad code)
Example Language: C
(bad code)
Example Language: Java
Cipher des=Cipher.getInstance("DES..."); des.initEncrypt(key2);
(bad code)
Example Language: PHP
function encryptPassword($password){ $iv_size = mcrypt_get_iv_size(MCRYPT_DES, MCRYPT_MODE_ECB); $iv = mcrypt_create_iv($iv_size, MCRYPT_RAND); $key = "This is a password encryption key"; $encryptedPassword = mcrypt_encrypt(MCRYPT_DES, $key, $password, MCRYPT_MODE_ECB, $iv); return $encryptedPassword; }
Once considered a strong algorithm, DES now regarded as insufficient for many applications. It has been replaced by Advanced Encryption Standard (AES).
Example 2
Suppose a chip manufacturer decides to implement a hashing scheme for verifying integrity property of certain bitstream, and it chooses to implement a SHA1 hardware accelerator for to implement the scheme.
(bad code)
Example Language: Other
The manufacturer chooses a SHA1 hardware accelerator for to implement the scheme because it already has a working SHA1 Intellectual Property (IP) that the manufacturer had created and used earlier, so this reuse of IP saves design cost.
However, SHA1 was theoretically broken in 2005 and practically broken in 2017 at a cost of $110K. This means an attacker with access to cloud-rented computing power will now be able to provide a malicious bitstream with the same hash value, thereby defeating the purpose for which the hash was used.
This issue could have been avoided with better design.
(good code)
Example Language: Other
The manufacturer could have chosen a cryptographic solution that is recommended by the wide security community (including standard-setting bodies like NIST) and is not expected to be broken (or even better, weakened) within the reasonable life expectancy of the hardware product. In this case, the architects could have used SHA-2 or SHA-3, even if it meant that such choice would cost extra.
Example 3
In 2022, the OT:ICEFALL study examined products by 10 different Operational Technology (OT) vendors. The researchers reported 56 vulnerabilities and said that the products were "insecure by design" [REF-1283]. If exploited, these vulnerabilities often allowed adversaries to change how the products operated, ranging from denial of service to changing the code that the products executed. Since these products were often used in industries such as power, electrical, water, and others, there could even be safety implications.
Multiple OT products used weak cryptography.
👁 + Selected Observed
Examples
Note: this is a curated list of examples for users to understand the variety of ways in which this
weakness can be introduced. It is not a complete list of all CVEs that are related to this CWE entry.
| Reference |
Description |
|
|
SCADA-based protocol supports a legacy encryption mode that uses Tiny Encryption Algorithm (TEA) in ECB mode, which leaks patterns in messages and cannot protect integrity
|
|
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Programmable Logic Controller (PLC) uses a protocol with a cryptographically insecure hashing algorithm for passwords.
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Product uses "ROT-25" to obfuscate the password in the registry.
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product only uses "XOR" to obfuscate sensitive data
|
|
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product only uses "XOR" and a fixed key to obfuscate sensitive data
|
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Product substitutes characters with other characters in a fixed way, and also leaves certain input characters unchanged.
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Attackers can infer private IP addresses by dividing each octet by the MD5 hash of '20'.
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Product uses DES when MD5 has been specified in the configuration, resulting in weaker-than-expected password hashes.
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Default configuration of product uses MD5 instead of stronger algorithms that are available, simplifying forgery of certificates.
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Product uses the hash of a hash for authentication, allowing attackers to gain privileges if they can obtain the original hash.
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👁 +
Weakness Ordinalities
| Ordinality |
Description |
|
Primary
|
(where the weakness exists independent of other weaknesses)
|
| Method |
Details |
|
Automated Analysis
|
Automated methods may be useful for recognizing commonly-used libraries or features that have become obsolete.
Effectiveness: Moderate
Note:False negatives may occur if the tool is not aware of the cryptographic libraries in use, or if custom cryptography is being used.
|
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Manual Analysis
|
This weakness can be detected using tools and techniques that require manual (human) analysis, such as penetration testing, threat modeling, and interactive tools that allow the tester to record and modify an active session.
Note:These may be more effective than strictly automated techniques. This is especially the case with weaknesses that are related to design and business rules.
|
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Automated Static Analysis - Binary or Bytecode
|
According to SOAR [REF-1479], the following detection techniques may be useful:
Cost effective for partial coverage:
- Bytecode Weakness Analysis - including disassembler + source code weakness analysis
- Binary Weakness Analysis - including disassembler + source code weakness analysis
- Binary / Bytecode simple extractor - strings, ELF readers, etc.
Effectiveness: SOAR Partial
|
|
Manual Static Analysis - Binary or Bytecode
|
According to SOAR [REF-1479], the following detection techniques may be useful:
Cost effective for partial coverage:
- Binary / Bytecode disassembler - then use manual analysis for vulnerabilities & anomalies
Effectiveness: SOAR Partial
|
|
Dynamic Analysis with Automated Results Interpretation
|
According to SOAR [REF-1479], the following detection techniques may be useful:
Cost effective for partial coverage:
- Web Application Scanner
- Web Services Scanner
- Database Scanners
Effectiveness: SOAR Partial
|
|
Dynamic Analysis with Manual Results Interpretation
|
According to SOAR [REF-1479], the following detection techniques may be useful:
Highly cost effective:
- Man-in-the-middle attack tool
Cost effective for partial coverage:
- Framework-based Fuzzer
- Automated Monitored Execution
- Monitored Virtual Environment - run potentially malicious code in sandbox / wrapper / virtual machine, see if it does anything suspicious
Effectiveness: High
|
|
Manual Static Analysis - Source Code
|
According to SOAR [REF-1479], the following detection techniques may be useful:
Highly cost effective:
- Manual Source Code Review (not inspections)
Cost effective for partial coverage:
- Focused Manual Spotcheck - Focused manual analysis of source
Effectiveness: High
|
|
Automated Static Analysis - Source Code
|
According to SOAR [REF-1479], the following detection techniques may be useful:
Highly cost effective:
- Source code Weakness Analyzer
- Context-configured Source Code Weakness Analyzer
Effectiveness: High
|
|
Automated Static Analysis
|
According to SOAR [REF-1479], the following detection techniques may be useful:
Cost effective for partial coverage:
Effectiveness: SOAR Partial
|
|
Architecture or Design Review
|
According to SOAR [REF-1479], the following detection techniques may be useful:
Highly cost effective:
- Formal Methods / Correct-By-Construction
Cost effective for partial coverage:
- Inspection (IEEE 1028 standard) (can apply to requirements, design, source code, etc.)
Effectiveness: High
|
👁 Section Help This MemberOf Relationships table shows additional CWE Categories and Views that
reference this weakness as a member. This information is often useful in understanding where a
weakness fits within the context of external information sources.
| Nature |
Type |
ID |
Name |
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
729
|
OWASP Top Ten 2004 Category A8 - Insecure Storage
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
753
|
2009 Top 25 - Porous Defenses
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
803
|
2010 Top 25 - Porous Defenses
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
816
|
OWASP Top Ten 2010 Category A7 - Insecure Cryptographic Storage
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
866
|
2011 Top 25 - Porous Defenses
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
883
|
CERT C++ Secure Coding Section 49 - Miscellaneous (MSC)
|
| MemberOf |
👁 View View - a subset of CWE entries that provides a way of examining CWE content. The two main view structures are Slices (flat lists) and Graphs (containing relationships between entries). |
884
|
CWE Cross-section
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
934
|
OWASP Top Ten 2013 Category A6 - Sensitive Data Exposure
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
958
|
SFP Secondary Cluster: Broken Cryptography
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
1029
|
OWASP Top Ten 2017 Category A3 - Sensitive Data Exposure
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
1131
|
CISQ Quality Measures (2016) - Security
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
1152
|
SEI CERT Oracle Secure Coding Standard for Java - Guidelines 49. Miscellaneous (MSC)
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
1170
|
SEI CERT C Coding Standard - Guidelines 48. Miscellaneous (MSC)
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
1346
|
OWASP Top Ten 2021 Category A02:2021 - Cryptographic Failures
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
1366
|
ICS Communications: Frail Security in Protocols
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
1402
|
Comprehensive Categorization: Encryption
|
| MemberOf |
👁 Category Category - a CWE entry that contains a set of other entries that share a common characteristic. |
1439
|
OWASP Top Ten 2025 Category A04:2025 - Cryptographic Failures
|
👁 +
Vulnerability Mapping Notes
|
Usage
|
ALLOWED-WITH-REVIEW
(this CWE ID could be used to map to real-world vulnerabilities in limited situations requiring careful review)
|
| Reason |
Abstraction
|
|
Rationale
|
This CWE entry is a Class and might have Base-level children that would be more appropriate
|
|
Comments
|
Examine children of this entry to see if there is a better fit
|
Maintenance
Since CWE 4.4, various cryptography-related entries, including CWE-327 and CWE-1240, have been slated for extensive research, analysis, and community consultation to define consistent terminology, improve relationships, and reduce overlap or duplication. As of CWE 4.6, this work is still ongoing.
| Mapped Taxonomy Name |
Node ID |
Fit |
Mapped Node Name |
| CLASP |
Using a broken or risky cryptographic algorithm |
| OWASP Top Ten 2004 |
A8 |
CWE More Specific |
Insecure Storage |
| CERT C Secure Coding |
MSC30-C |
CWE More Abstract |
Do not use the rand() function for generating pseudorandom numbers |
| CERT C Secure Coding |
MSC32-C |
CWE More Abstract |
Properly seed pseudorandom number generators |
| The CERT Oracle Secure Coding Standard for Java (2011) |
MSC02-J |
Generate strong random numbers |
| OMG ASCSM |
ASCSM-CWE-327 |
| ISA/IEC 62443 |
Part 3-3 |
Req SR 4.3 |
| ISA/IEC 62443 |
Part 4-2 |
Req CR 4.3 |
| [REF-280] |
Bruce Schneier. "Applied Cryptography". John Wiley & Sons. 1996.
<https://www.schneier.com/books/applied-cryptography>.
(URL validated: 2023-04-07)
|
| [REF-281] |
Alfred J. Menezes, Paul C. van Oorschot and Scott A. Vanstone. "Handbook of Applied Cryptography". 1996-10.
<https://cacr.uwaterloo.ca/hac/>.
(URL validated: 2023-04-07)
|
| [REF-282] |
C Matthew Curtin. "Avoiding bogus encryption products: Snake Oil FAQ". 1998-04-10.
<http://www.faqs.org/faqs/cryptography-faq/snake-oil/>.
|
| [REF-267] |
Information Technology Laboratory, National Institute of Standards and Technology. "FIPS PUB 140-2: SECURITY REQUIREMENTS FOR CRYPTOGRAPHIC MODULES". 2001-05-25.
<https://csrc.nist.gov/files/pubs/fips/140-2/upd2/final/docs/fips1402.pdf>.
(URL validated: 2025-05-21)
|
| [REF-284] |
Paul F. Roberts. "Microsoft Scraps Old Encryption in New Code". 2005-09-15.
<https://www.eweek.com/security/microsoft-scraps-old-encryption-in-new-code/>.
(URL validated: 2023-04-07)
|
| [REF-7] |
Michael Howard and David LeBlanc. "Writing Secure Code". Chapter 8, "Cryptographic Foibles" Page 259. 2nd Edition. Microsoft Press. 2002-12-04.
<https://www.microsoftpressstore.com/store/writing-secure-code-9780735617223>.
|
| [REF-44] |
Michael Howard, David LeBlanc and John Viega. "24 Deadly Sins of Software Security". "Sin 21: Using the Wrong Cryptography." Page 315. McGraw-Hill. 2010.
|
| [REF-287] |
Johannes Ullrich. "Top 25 Series - Rank 24 - Use of a Broken or Risky Cryptographic Algorithm". SANS Software Security Institute. 2010-03-25.
<https://www.sans.org/blog/top-25-series-use-of-a-broken-or-risky-cryptographic-algorithm/>.
(URL validated: 2023-04-07)
|
| [REF-62] |
Mark Dowd, John McDonald and Justin Schuh. "The Art of Software Security Assessment". Chapter 2, "Insufficient or Obsolete Encryption", Page 44. 1st Edition. Addison Wesley. 2006.
|
| [REF-962] |
Object Management Group (OMG). "Automated Source Code Security Measure (ASCSM)". ASCSM-CWE-327. 2016-01.
<http://www.omg.org/spec/ASCSM/1.0/>.
|
| [REF-18] |
Secure Software, Inc.. "The CLASP Application Security Process". 2005.
<https://cwe.mitre.org/documents/sources/TheCLASPApplicationSecurityProcess.pdf>.
(URL validated: 2024-11-17)
|
| [REF-1192] |
Information Technology Laboratory, National Institute of Standards and Technology. "FIPS PUB 140-3: SECURITY REQUIREMENTS FOR CRYPTOGRAPHIC MODULES". 2019-03-22.
<https://csrc.nist.gov/publications/detail/fips/140/3/final>.
|
| [REF-1283] |
Forescout Vedere Labs. "OT:ICEFALL: The legacy of "insecure by design" and its implications for certifications and risk management". 2022-06-20.
<https://www.forescout.com/resources/ot-icefall-report/>.
|
| [REF-1479] |
Gregory Larsen, E. Kenneth Hong Fong, David A. Wheeler and Rama S. Moorthy. "State-of-the-Art Resources (SOAR) for Software Vulnerability Detection, Test, and Evaluation". 2014-07.
<https://www.ida.org/-/media/feature/publications/s/st/stateoftheart-resources-soar-for-software-vulnerability-detection-test-and-evaluation/p-5061.ashx>.
(URL validated: 2025-09-05)
|
| [REF-1482] |
D3FEND. "D3FEND: D3-TL Trusted Library".
<https://d3fend.mitre.org/technique/d3f:TrustedLibrary/>.
(URL validated: 2025-09-06)
|
👁 + Submissions |
| Submission Date |
Submitter |
Organization |
2006-07-19
(CWE Draft 3, 2006-07-19)
|
CLASP |
👁 + Contributions |
| Contribution Date |
Contributor |
Organization |
|
2019-12-10
|
Parbati K. Manna |
Intel Corporation |
|
Provide a hardware-specific submission whose contents were integrated into this entry, affecting extended description, applicable platforms, demonstrative examples, and mitigations
|
👁 + Modifications |
| Modification Date |
Modifier |
Organization |
2025-12-11
(CWE 4.19, 2025-12-11)
|
CWE Content Team |
MITRE |
|
updated Maintenance_Notes, Relationships, Weakness_Ordinalities
|
2025-09-09
(CWE 4.18, 2025-09-09)
|
CWE Content Team |
MITRE |
|
updated Detection_Factors, Potential_Mitigations, References
|
2023-06-29
(CWE 4.12, 2023-06-29)
|
CWE Content Team |
MITRE |
|
updated Mapping_Notes, Relationships
|
2023-04-27
(CWE 4.11, 2023-04-27)
|
CWE Content Team |
MITRE |
|
updated References, Relationships
|
2023-01-31
(CWE 4.10, 2023-01-31)
|
CWE Content Team |
MITRE |
|
updated Applicable_Platforms, Background_Details, Demonstrative_Examples, Description, Maintenance_Notes, Modes_of_Introduction, Observed_Examples, Potential_Mitigations, References, Taxonomy_Mappings, Time_of_Introduction
|
2022-10-13
(CWE 4.9, 2022-10-13)
|
CWE Content Team |
MITRE |
|
updated Demonstrative_Examples, Observed_Examples, References
|
2022-04-28
(CWE 4.7, 2022-04-28)
|
CWE Content Team |
MITRE |
|
updated Relationships
|
2021-10-28
(CWE 4.6, 2021-10-28)
|
CWE Content Team |
MITRE |
|
updated Maintenance_Notes, Potential_Mitigations, Relationships
|
2021-03-15
(CWE 4.4, 2021-03-15)
|
CWE Content Team |
MITRE |
|
updated References
|
2020-02-24
(CWE 4.0, 2020-02-24)
|
CWE Content Team |
MITRE |
|
updated Applicable_Platforms, Detection_Factors, Maintenance_Notes, Relationships
|
2019-06-20
(CWE 3.3, 2019-06-20)
|
CWE Content Team |
MITRE |
|
updated Related_Attack_Patterns, Relationships, Type
|
2019-01-03
(CWE 3.2, 2019-01-03)
|
CWE Content Team |
MITRE |
|
updated References, Relationships, Taxonomy_Mappings
|
2018-03-27
(CWE 3.1, 2018-03-27)
|
CWE Content Team |
MITRE |
|
updated References, Relationships
|
2017-11-08
(CWE 3.0, 2017-11-08)
|
CWE Content Team |
MITRE |
|
updated Demonstrative_Examples, Likelihood_of_Exploit, Modes_of_Introduction, References, Relationships, Taxonomy_Mappings
|
2017-01-19
(CWE 2.10, 2017-01-19)
|
CWE Content Team |
MITRE |
|
updated Related_Attack_Patterns
|
2015-12-07
(CWE 2.9, 2015-12-07)
|
CWE Content Team |
MITRE |
|
updated Relationships
|
2014-07-30
(CWE 2.8, 2014-07-31)
|
CWE Content Team |
MITRE |
|
updated Demonstrative_Examples, Detection_Factors, Relationships
|
2014-06-23
(CWE 2.7, 2014-06-23)
|
CWE Content Team |
MITRE |
|
updated Relationships
|
2014-02-18
(CWE 2.6, 2014-02-19)
|
CWE Content Team |
MITRE |
|
updated Related_Attack_Patterns
|
2013-02-21
(CWE 2.4, 2013-02-21)
|
CWE Content Team |
MITRE |
|
updated Relationships
|
2012-10-30
(CWE 2.3, 2012-10-30)
|
CWE Content Team |
MITRE |
|
updated Potential_Mitigations
|
2012-05-11
(CWE 2.2, 2012-05-15)
|
CWE Content Team |
MITRE |
|
updated References, Related_Attack_Patterns, Relationships, Taxonomy_Mappings
|
2011-09-13
(CWE 2.1, 2011-09-13)
|
CWE Content Team |
MITRE |
|
updated Potential_Mitigations, Relationships, Taxonomy_Mappings
|
2011-06-27
(CWE 2.0, 2011-06-27)
|
CWE Content Team |
MITRE |
|
updated Relationships
|
2011-06-01
(CWE 1.13, 2011-06-01)
|
CWE Content Team |
MITRE |
|
updated Relationships, Taxonomy_Mappings
|
2011-03-29
(CWE 1.12, 2011-03-30)
|
CWE Content Team |
MITRE |
|
updated Demonstrative_Examples, Description
|
2010-09-27
(CWE 1.10, 2010-09-27)
|
CWE Content Team |
MITRE |
|
updated Potential_Mitigations, Relationships
|
2010-06-21
(CWE 1.9, 2010-06-21)
|
CWE Content Team |
MITRE |
|
updated Common_Consequences, Detection_Factors, Potential_Mitigations, References, Relationships
|
2010-04-05
(CWE 1.8.1, 2010-04-05)
|
CWE Content Team |
MITRE |
|
updated Applicable_Platforms, Potential_Mitigations, Related_Attack_Patterns
|
2010-02-16
(CWE 1.8, 2010-02-16)
|
CWE Content Team |
MITRE |
|
updated Detection_Factors, References, Relationships
|
2009-12-28
(CWE 1.7, 2009-12-28)
|
CWE Content Team |
MITRE |
|
updated References
|
2009-10-29
(CWE 1.6, 2009-10-29)
|
CWE Content Team |
MITRE |
|
updated Relationships
|
2009-07-27
(CWE 1.5, 2009-07-27)
|
CWE Content Team |
MITRE |
|
updated Maintenance_Notes, Relationships
|
2009-03-10
(CWE 1.3, 2009-03-10)
|
CWE Content Team |
MITRE |
|
updated Potential_Mitigations
|
2009-01-12
(CWE 1.2, 2009-01-12)
|
CWE Content Team |
MITRE |
|
updated Demonstrative_Examples, Description, Observed_Examples, Potential_Mitigations, References, Relationships
|
2008-09-08
(CWE 1.0, 2008-09-09)
|
CWE Content Team |
MITRE |
|
updated Background_Details, Common_Consequences, Description, Relationships, Taxonomy_Mappings
|
2008-08-15
(CWE 1.0, 2008-09-09)
|
Veracode |
|
Suggested OWASP Top Ten 2004 mapping
|
👁 + Previous Entry Names |
| Change Date |
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| 2008-04-11
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Using a Broken or Risky Cryptographic Algorithm |
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