CWE-1240: Use of a Cryptographic Primitive with a Risky Implementation
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Edit Custom FilterTo fulfill the need for a cryptographic primitive, the product implements a cryptographic algorithm using a non-standard, unproven, or disallowed/non-compliant cryptographic implementation.
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. 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.
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)
Relevant to the view "Software Development" (CWE-699)
Relevant to the view "Hardware Design" (CWE-1194)
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.
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) 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.
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.
Terminology 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
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