CVE Vulnerabilities

CVE-2021-32762

Integer Overflow or Wraparound

Published: Oct 04, 2021 | Modified: Nov 07, 2023
CVSS 3.x
8.8
HIGH
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVSS 2.x
9 HIGH
AV:N/AC:L/Au:S/C:C/I:C/A:C
RedHat/V2
RedHat/V3
7.5 MODERATE
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
Ubuntu
NEGLIGIBLE

Redis is an open source, in-memory database that persists on disk. The redis-cli command line tool and redis-sentinel service may be vulnerable to integer overflow when parsing specially crafted large multi-bulk network replies. This is a result of a vulnerability in the underlying hiredis library which does not perform an overflow check before calling the calloc() heap allocation function. This issue only impacts systems with heap allocators that do not perform their own overflow checks. Most modern systems do and are therefore not likely to be affected. Furthermore, by default redis-sentinel uses the jemalloc allocator which is also not vulnerable. The problem is fixed in Redis versions 6.2.6, 6.0.16 and 5.0.14.

Weakness

The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control.

Affected Software

Name Vendor Start Version End Version
Redis Redis 5.0.0 (including) 5.0.14 (excluding)
Redis Redis 6.0.0 (including) 6.0.16 (excluding)
Redis Redis 6.2.0 (including) 6.2.6 (excluding)
Discque Ubuntu trusty *
Discque Ubuntu xenial *
Hiredis Ubuntu trusty *
Hiredis Ubuntu xenial *
Nginx Ubuntu trusty *
Nginx Ubuntu xenial *
Python-hiredis Ubuntu trusty *
Python-hiredis Ubuntu xenial *
Redis Ubuntu trusty *
Redis Ubuntu upstream *
Redis Ubuntu xenial *
Rspamd Ubuntu trusty *
Rspamd Ubuntu xenial *
Webdis Ubuntu trusty *
Webdis Ubuntu xenial *

Potential Mitigations

  • Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
  • If possible, choose a language or compiler that performs automatic bounds checking.
  • Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
  • Use libraries or frameworks that make it easier to handle numbers without unexpected consequences.
  • Examples include safe integer handling packages such as SafeInt (C++) or IntegerLib (C or C++). [REF-106]
  • Perform input validation on any numeric input by ensuring that it is within the expected range. Enforce that the input meets both the minimum and maximum requirements for the expected range.
  • Use unsigned integers where possible. This makes it easier to perform validation for integer overflows. When signed integers are required, ensure that the range check includes minimum values as well as maximum values.
  • Understand the programming language’s underlying representation and how it interacts with numeric calculation (CWE-681). Pay close attention to byte size discrepancies, precision, signed/unsigned distinctions, truncation, conversion and casting between types, “not-a-number” calculations, and how the language handles numbers that are too large or too small for its underlying representation. [REF-7]
  • Also be careful to account for 32-bit, 64-bit, and other potential differences that may affect the numeric representation.

References