4.3 CVE-2024-9143

Enriched by CISA
 

Issue summary: Use of the low-level GF(2^m) elliptic curve APIs with untrusted explicit values for the field polynomial can lead to out-of-bounds memory reads or writes. Impact summary: Out of bound memory writes can lead to an application crash or even a possibility of a remote code execution, however, in all the protocols involving Elliptic Curve Cryptography that we're aware of, either only "named curves" are supported, or, if explicit curve parameters are supported, they specify an X9.62 encoding of binary (GF(2^m)) curves that can't represent problematic input values. Thus the likelihood of existence of a vulnerable application is low. In particular, the X9.62 encoding is used for ECC keys in X.509 certificates, so problematic inputs cannot occur in the context of processing X.509 certificates. Any problematic use-cases would have to be using an "exotic" curve encoding. The affected APIs include: EC_GROUP_new_curve_GF2m(), EC_GROUP_new_from_params(), and various supporting BN_GF2m_*() functions. Applications working with "exotic" explicit binary (GF(2^m)) curve parameters, that make it possible to represent invalid field polynomials with a zero constant term, via the above or similar APIs, may terminate abruptly as a result of reading or writing outside of array bounds. Remote code execution cannot easily be ruled out. The FIPS modules in 3.3, 3.2, 3.1 and 3.0 are not affected by this issue.
https://nvd.nist.gov/vuln/detail/CVE-2024-9143

Categories

CWE-125 : Out-of-bounds Read
The product reads data past the end, or before the beginning, of the intended buffer. When an out-of-bounds read occurs, typically the product has already made a separate mistake, such as modifying an index or performing pointer arithmetic that produces an out-of-bounds address. Shorthand for "Out of bounds" read Fuzz testing (fuzzing) is a powerful technique for generating large numbers of diverse inputs - either randomly or algorithmically - and dynamically invoking the code with those inputs. Even with random inputs, it is often capable of generating unexpected results such as crashes, memory corruption, or resource consumption. Fuzzing effectively produces repeatable test cases that clearly indicate bugs, which helps developers to diagnose the issues. 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.) Use tools that are integrated duringcompilation to insert runtime error-checking mechanismsrelated to memory safety errors, such as AddressSanitizer(ASan) for C/C++ [REF-1518]. Use a language that provides appropriate memory abstractions. The reference implementation code for a Trusted Platform Module does not implement length checks on data, allowing for an attacker to read 2 bytes past the end of a buffer. Out-of-bounds read in IP stack used in embedded systems, as exploited in the wild per CISA KEV. Chain: "Heartbleed" bug receives an inconsistent length parameter (CWE-130) enabling an out-of-bounds read (CWE-126), returning memory that could include private cryptographic keys and other sensitive data. HTML conversion package has a buffer under-read, allowing a crash Chain: unexpected sign extension (CWE-194) leads to integer overflow (CWE-190), causing an out-of-bounds read (CWE-125) Chain: product does not handle when an input string is not NULL terminated (CWE-170), leading to buffer over-read (CWE-125) or heap-based buffer overflow (CWE-122). Chain: series of floating-point precision errors(CWE-1339) in a web browser rendering engine causes out-of-bounds read(CWE-125), giving access to cross-origin data out-of-bounds read due to improper length check packet with large number of specified elements cause out-of-bounds read. packet with large number of specified elements cause out-of-bounds read. out-of-bounds read, resultant from integer underflow large length value causes out-of-bounds read malformed image causes out-of-bounds read OS kernel trusts userland-supplied length value, allowing reading of sensitive information

References


 

AFFECTED (from MITRE)

Vendor Product Versions
OpenSSL OpenSSL
  • 3.3.0 < 3.3.3 [affected]
  • 3.2.0 < 3.2.4 [affected]
  • 3.1.0 < 3.1.8 [affected]
  • 3.0.0 < 3.0.16 [affected]
  • 1.1.1 < 1.1.1zb [affected]
  • 1.0.2 < 1.0.2zl [affected]
© 2022 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.

CPE

cpe start end

REMEDIATION


EXPLOITS

Exploit-db.com

id description date
No known exploits

POC Github

Url
No known exploits

Other Nist (github, ...)

Url
No known exploits

CAPEC

Common Attack Pattern Enumerations and Classifications

id description severity
540 Overread Buffers
High