CWE-1240: Use of a Cryptographic Primitive with a Risky Implementation
Weakness ID: 1240
Abstraction: Base Structure: Simple
View customized information:
Description
To fulfill the need for a cryptographic primitive, the product implements a cryptographic algorithm using a non-standard, unproven, or disallowed/non-compliant cryptographic implementation.
Extended Description
Cryptographic protocols and systems depend on cryptographic primitives (and associated algorithms) as their basic building blocks. Some common examples of primitives are digital signatures, one-way hash functions, ciphers, and public key cryptography; however, the notion of "primitive" can vary depending on point of view. See "Terminology Notes" for further explanation of some concepts.
Cryptographic primitives are defined to accomplish one very specific task in a precisely defined and mathematically reliable fashion. For example, suppose that for a specific cryptographic primitive (such as an encryption routine), the consensus is that the primitive can only be broken after trying out N different inputs (where the larger the value of N, the stronger the cryptography). For an encryption scheme like AES-256, one would expect N to be so large as to be infeasible to execute in a reasonable amount of time.
If a vulnerability is ever found that shows that one can break a cryptographic primitive in significantly less than the expected number of attempts, then that primitive is considered weakened (or sometimes in extreme cases, colloquially it is "broken"). As a result, anything using this cryptographic primitive would now be considered insecure or risky. Thus, even breaking or weakening a seemingly small cryptographic primitive has the potential to render the whole system vulnerable, due to its reliance on the primitive. A historical example can be found in TLS when using DES. One would colloquially call DES the cryptographic primitive for transport encryption in this version of TLS. In the past, DES was considered strong, because no weaknesses were found in it; importantly, DES has a key length of 56 bits. Trying N=2^56 keys was considered impractical for most actors. Unfortunately, attacking a system with 56-bit keys is now practical via brute force, which makes defeating DES encryption practical. It is now practical for an adversary to read any information sent under this version of TLS and use this information to attack the system. As a result, it can be claimed that this use of TLS is weak, and that any system depending on TLS with DES could potentially render the entire system vulnerable to attack.
Cryptographic primitives and associated algorithms are only considered safe after extensive research and review from experienced cryptographers from academia, industry, and government entities looking for any possible flaws. Furthermore, cryptographic primitives and associated algorithms are frequently reevaluated for safety when new mathematical and attack techniques are discovered. As a result and over time, even well-known cryptographic primitives can lose their compliance status with the discovery of novel attacks that might either defeat the algorithm or reduce its robustness significantly.
If ad-hoc cryptographic primitives are implemented, it is almost certain that the implementation will be vulnerable to attacks that are well understood by cryptographers, resulting in the exposure of sensitive information and other consequences.
This weakness is even more difficult to manage for hardware-implemented deployment of cryptographic algorithms. First, because hardware is not patchable as easily as software, any flaw discovered after release and production typically cannot be fixed without a recall of the product. Secondly, the hardware product is often expected to work for years, during which time computation power available to the attacker only increases. Therefore, for hardware implementations of cryptographic primitives, it is absolutely essential that only strong, proven cryptographic primitives are used.
Relationships
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" (CWE-1000)
Nature
Type
ID
Name
ChildOf
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.
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 "Software Development" (CWE-699)
Nature
Type
ID
Name
MemberOf
Category - a CWE entry that contains a set of other entries that share a common characteristic.
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 "Hardware Design" (CWE-1194)
Nature
Type
ID
Name
MemberOf
Category - a CWE entry that contains a set of other entries that share a common characteristic.
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
This weakness is primarily introduced during the architecture and design phase as risky primitives are included.
Implementation
Even in cases where the Architectural phase properly specifies a cryptographically secure design, the design may be changed during implementation due to unforeseen constraints.
Applicable Platforms
This listing shows possible areas for which the given weakness could appear. These may be for specific named Languages, Operating Systems, Architectures, Paradigms, Technologies, or a class of such platforms. The platform is listed along with how frequently the given weakness appears for that instance.
Languages
Class: Not Language-Specific (Undetermined Prevalence)
Operating Systems
Class: Not OS-Specific (Undetermined Prevalence)
Architectures
Class: Not Architecture-Specific (Undetermined Prevalence)
Technologies
Class: System on Chip (Undetermined Prevalence)
Common Consequences
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.
Scope
Impact
Likelihood
Confidentiality
Technical Impact: Read Application Data
Incorrect usage of crypto primitives could render the supposedly encrypted data as unencrypted plaintext in the worst case.
High
Demonstrative Examples
Example 1
Re-using random values may compromise security.
(bad code)
Suppose an Encryption algorithm needs a random value for a key. Instead of using a DRNG (Deterministic Random Number Generator), the designer uses a linear-feedback shift register (LFSR) to generate the value.
While an LFSR may provide pseudo-random number generation service, the entropy (measure of randomness) of the resulting output may be less than that of an accepted DRNG (like that used in dev/urandom). Thus, using an LFSR weakens the strength of the cryptographic system, because it may be possible for an attacker to guess the LFSR output and subsequently the encryption key.
(good code)
If a cryptographic algorithm expects a random number as its input, provide one. Do not provide a pseudo-random value.
SSL/TLS library generates 16-byte nonces but reduces them to 12 byte nonces for the ChaCha20-Poly1305 cipher, converting them in a way that violates the cipher's requirements for unique nonces.
Recommendation for Dual_EC_DRBG algorithm contains point Q constants that could simplify decryption
Potential Mitigations
Phase: Requirements
Require compliance with the strongest-available recommendations from trusted parties, and require that compliance must be kept up-to-date, since recommendations evolve over time. For example, US government systems require FIPS 140-3 certification, which supersedes FIPS 140-2 [REF-1192] [REF-1226].
Effectiveness: High
Phase: Architecture and Design
Ensure that the architecture/design uses the strongest-available primitives and algorithms from trusted parties. For example, US government systems require FIPS 140-3 certification, which supersedes FIPS 140-2 [REF-1192] [REF-1226].
Effectiveness: High
Phase: Architecture and Design
Do not develop custom or private cryptographic algorithms. They will likely be exposed to attacks that are well-understood by cryptographers. As with all cryptographic mechanisms, the source code should be available for analysis. If the algorithm may be compromised when attackers find out how it works, then it is especially weak.
Effectiveness: Discouraged Common Practice
Phase: Architecture and Design
Try not to use cryptographic algorithms in novel ways or with new modes of operation even when you "know" it is secure. For example, using SHA-2 chaining to create a 1-time pad for encryption might sound like a good idea, but one should not do this.
Effectiveness: Discouraged Common Practice
Phase: Architecture and Design
Ensure that the design can replace one cryptographic primitive or algorithm with another in the next generation ("cryptographic agility"). Where possible, use wrappers to make the interfaces uniform. This will make it easier to upgrade to stronger algorithms. This is especially important for hardware, which can be more difficult to upgrade quickly than software; design the hardware at a replaceable block level.
Effectiveness: Defense in Depth
Phase: Architecture and Design
Do not use outdated or non-compliant cryptography algorithms. 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].
Effectiveness: Discouraged Common Practice
Phases: Architecture and Design; Implementation
Do not use a linear-feedback shift register (LFSR) or other legacy methods as a substitute for an accepted and standard Random Number Generator.
Effectiveness: Discouraged Common Practice
Phases: Architecture and Design; Implementation
Do not use a checksum as a substitute for a cryptographically generated hash.
Effectiveness: Discouraged Common Practice
Phase: Architecture and Design
Strategy: Libraries or Frameworks
Use a vetted cryptographic library or framework. Industry-standard implementations will save development time and are more likely to avoid errors that can occur during implementation of cryptographic algorithms. However, the library/framework could be used incorrectly during implementation.
Effectiveness: High
Phases: Architecture and Design; Implementation
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 the prevention of common attacks.
Effectiveness: Moderate
Phases: Architecture and Design; Implementation
Do not store keys in areas accessible to untrusted agents. Carefully manage and protect the cryptographic keys (see CWE-320). If the keys can be guessed or stolen, then the strength of the cryptography algorithm is irrelevant.
Effectiveness: Moderate
Weakness Ordinalities
Ordinality
Description
Primary
(where the weakness exists independent of other weaknesses)
Detection Methods
Architecture or Design Review
Review requirements, documentation, and product design to ensure that primitives are consistent with the strongest-available recommendations from trusted parties. If the product appears to be using custom or proprietary implementations that have not had sufficient public review and approval, then this is a significant concern.
Effectiveness: High
Manual Analysis
Analyze the product to ensure that implementations for each primitive do not contain any known vulnerabilities and are not using any known-weak algorithms, including MD4, MD5, SHA1, DES, etc.
Effectiveness: Moderate
Dynamic Analysis with Manual Results Interpretation
For hardware, during the implementation (pre-Silicon / post-Silicon) phase, dynamic tests should be done to ensure that outputs from cryptographic routines are indeed working properly, such as test vectors provided by NIST [REF-1236].
Effectiveness: Moderate
Dynamic Analysis with Manual Results Interpretation
It needs to be determined if the output of a cryptographic primitive is lacking entropy, which is one clear sign that something went wrong with the crypto implementation. There exist many methods of measuring the entropy of a bytestream, from sophisticated ones (like calculating Shannon's entropy of a sequence of characters) to crude ones (by compressing it and comparing the size of the original bytestream vs. the compressed - a truly random byte stream should not be compressible and hence the uncompressed and compressed bytestreams should be nearly identical in size).
Effectiveness: Moderate
Memberships
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
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).
Terminology for cryptography varies widely, from informal and colloquial to mathematically-defined, with different precision and formalism depending on whether the stakeholder is a developer, cryptologist, etc. Yet there is a need for CWE to be self-consistent while remaining understandable and acceptable to multiple audiences.
As of CWE 4.6, CWE terminology around "primitives" and "algorithms" is emerging as shown by the following example, subject to future consultation and agreement within the CWE and cryptography communities. Suppose one wishes to send encrypted data using a CLI tool such as OpenSSL. One might choose to use AES with a 256-bit key and require tamper protection (GCM mode, for instance). For compatibility's sake, one might also choose the ciphertext to be formatted to the PKCS#5 standard. In this case, the "cryptographic system" would be AES-256-GCM with PKCS#5 formatting. The "cryptographic function" would be AES-256 in the GCM mode of operation, and the "algorithm" would be AES. Colloquially, one would say that AES (and sometimes AES-256) is the "cryptographic primitive," because it is the algorithm that realizes the concept of symmetric encryption (without modes of operation or other protocol related modifications). In practice, developers and architects typically refer to base cryptographic algorithms (AES, SHA, etc.) as cryptographic primitives.
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.
[REF-1226] 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/publications/detail/fips/140/2/final>.
[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>.
Description
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.
