9.8 CVE-2024-38812

The vCenter Server contains a heap-overflow vulnerability in the implementation of the DCERPC protocol. A malicious actor with network access to vCenter Server may trigger this vulnerability by sending a specially crafted network packet potentially leading to remote code execution.
https://nvd.nist.gov/vuln/detail/CVE-2024-38812

Categories

CWE-787 : Out-of-bounds Write
The product writes data past the end, or before the beginning, of the intended buffer. At the point when the product writes data to an invalid location, it is likely that a separate weakness already occurred earlier. For example, the product might alter an index, perform incorrect pointer arithmetic, initialize or release memory incorrectly, etc., thus referencing a memory location outside the buffer. Often used to describe the consequences of writing to memory outside the bounds of a buffer, or to memory that is otherwise invalid. This weakness can be detected using dynamic tools and techniques that interact with the software using large test suites with many diverse inputs, such as fuzz testing (fuzzing), robustness testing, and fault injection. The software's operation may slow down, but it should not become unstable, crash, or generate incorrect results. Replace unbounded copy functions with analogous functions that support length arguments, such as strcpy with strncpy. Create these if they are not available. The reference implementation code for a Trusted Platform Module does not implement length checks on data, allowing for an attacker to write 2 bytes past the end of a buffer. Chain: insufficient input validation (CWE-20) in browser allows heap corruption (CWE-787), as exploited in the wild per CISA KEV. GPU kernel driver allows memory corruption because a user can obtain read/write access to read-only pages, as exploited in the wild per CISA KEV. Chain: integer truncation (CWE-197) causes small buffer allocation (CWE-131) leading to out-of-bounds write (CWE-787) in kernel pool, as exploited in the wild per CISA KEV. Out-of-bounds write in kernel-mode driver, as exploited in the wild per CISA KEV. Escape from browser sandbox using out-of-bounds write due to incorrect bounds check, as exploited in the wild per CISA KEV. Memory corruption in web browser scripting engine, as exploited in the wild per CISA KEV. chain: mobile phone Bluetooth implementation does not include offset when calculating packet length (CWE-682), leading to out-of-bounds write (CWE-787) Chain: compiler optimization (CWE-733) removes or modifies code used to detect integer overflow (CWE-190), allowing out-of-bounds write (CWE-787). malformed inputs cause accesses of uninitialized or previously-deleted objects, leading to memory corruption chain: -1 value from a function call was intended to indicate an error, but is used as an array index instead. Unchecked length of SSLv2 challenge value leads to buffer underflow. Buffer underflow from a small size value with a large buffer (length parameter inconsistency, CWE-130) Chain: integer signedness error (CWE-195) passes signed comparison, leading to heap overflow (CWE-122) Classic stack-based buffer overflow in media player using a long entry in a playlist Heap-based buffer overflow in media player using a long entry in a playlist

CWE-122 : Heap-based Buffer Overflow
A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc(). 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. Pre-design: Use a language or compiler that performs automatic bounds checking. Use an abstraction library to abstract away risky APIs. Not a complete solution. Implement and perform bounds checking on input. Do not use dangerous functions such as gets. Look for their safe equivalent, which checks for the boundary. Use OS-level preventative functionality. This is not a complete solution, but it provides some defense in depth. Chain: in a web browser, an unsigned 64-bit integer is forcibly cast to a 32-bit integer (CWE-681) and potentially leading to an integer overflow (CWE-190). If an integer overflow occurs, this can cause heap memory corruption (CWE-122) Chain: integer signedness error (CWE-195) passes signed comparison, leading to heap overflow (CWE-122) 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: machine-learning product can have a heap-basedbuffer overflow (CWE-122) when some integer-oriented bounds arecalculated by using ceiling() and floor() on floating point values(CWE-1339) Chain: integer overflow (CWE-190) causes a negative signed value, which later bypasses a maximum-only check (CWE-839), leading to heap-based buffer overflow (CWE-122).

References

CPE

REMEDIATION

EXPLOITS

Exploit-db.com

POC Github

Other Nist (github, ...)

CAPEC

Common Attack Pattern Enumerations and Classifications

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