CWE-192 Variant Incomplete Medium likelihood

Integer Coercion Error

An integer coercion error occurs when a program incorrectly converts, extends, or truncates a number between different data types, leading to unexpected values.

Definition

What is CWE-192?

An integer coercion error occurs when a program incorrectly converts, extends, or truncates a number between different data types, leading to unexpected values.
These errors happen during operations like type casting or when moving values between different-sized integers (e.g., from a short to a long). While they often cause crashes or corrupt data, they can also create subtle logic flaws. For example, a miscalculated size check might later enable a buffer overflow, turning a data integrity issue into a serious security vulnerability. Managing this at scale is difficult; an ASPM like Plexicus can help you track and remediate these flaws across your entire stack. While SAST tools catch the pattern, Plexicus uses AI to suggest the actual code fix, saving hours of manual work by pinpointing the risky type conversions and providing corrected code snippets.
Real-world impact

Real-world CVEs caused by CWE-192

  • Chain: integer coercion error (CWE-192) prevents a return value from indicating an error, leading to out-of-bounds write (CWE-787)

How attackers exploit it

Step-by-step attacker path

  1. 1

    The following code is intended to read an incoming packet from a socket and extract one or more headers.

  2. 2

    The code performs a check to make sure that the packet does not contain too many headers. However, numHeaders is defined as a signed int, so it could be negative. If the incoming packet specifies a value such as -3, then the malloc calculation will generate a negative number (say, -300 if each header can be a maximum of 100 bytes). When this result is provided to malloc(), it is first converted to a size_t type. This conversion then produces a large value such as 4294966996, which may cause malloc() to fail or to allocate an extremely large amount of memory (CWE-195). With the appropriate negative numbers, an attacker could trick malloc() into using a very small positive number, which then allocates a buffer that is much smaller than expected, potentially leading to a buffer overflow.

  3. 3

    The following code reads a maximum size and performs validation on that size. It then performs a strncpy, assuming it will not exceed the boundaries of the array. While the use of "short s" is forced in this particular example, short int's are frequently used within real-world code, such as code that processes structured data.

  4. 4

    This code first exhibits an example of CWE-839, allowing "s" to be a negative number. When the negative short "s" is converted to an unsigned integer, it becomes an extremely large positive integer. When this converted integer is used by strncpy() it will lead to a buffer overflow (CWE-119).

Vulnerable code example

Vulnerable C

The following code is intended to read an incoming packet from a socket and extract one or more headers.

Vulnerable C
DataPacket *packet;
  int numHeaders;
  PacketHeader *headers;
  sock=AcceptSocketConnection();
  ReadPacket(packet, sock);
  numHeaders =packet->headers;
  if (numHeaders > 100) {
  	ExitError("too many headers!");
  }
  headers = malloc(numHeaders * sizeof(PacketHeader);
  ParsePacketHeaders(packet, headers);
Secure code example

Secure pseudo

Secure pseudo
// Validate, sanitize, or use a safe API before reaching the sink.
function handleRequest(input) {
  const safe = validateAndEscape(input);
  return executeWithGuards(safe);
}
What changed: the unsafe sink is replaced (or the input is validated/escaped) so the same payload no longer triggers the weakness.
Prevention checklist

How to prevent CWE-192

  • Requirements A language which throws exceptions on ambiguous data casts might be chosen.
  • Architecture and Design Design objects and program flow such that multiple or complex casts are unnecessary
  • Implementation Ensure that any data type casting that you must used is entirely understood in order to reduce the plausibility of error in use.
Detection signals

How to detect CWE-192

Automated Static Analysis High

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.)

CWE-192

Don't catalog this weakness. Prove it's reachable.

Plexicus turns CWE catalogs into evidence: every CWE-pattern is matched against your real code graph, reach is proven on a sandbox clone, and verified findings ship as reviewed PRs.

Frequently asked questions

Frequently asked questions

What is CWE-192?

An integer coercion error occurs when a program incorrectly converts, extends, or truncates a number between different data types, leading to unexpected values.

How serious is CWE-192?

MITRE rates the likelihood of exploit as Medium — exploitation is realistic but typically requires specific conditions.

What languages or platforms are affected by CWE-192?

MITRE lists the following affected platforms: C, C++, Java, C#.

How can I prevent CWE-192?

A language which throws exceptions on ambiguous data casts might be chosen. Design objects and program flow such that multiple or complex casts are unnecessary

How does Plexicus detect and fix CWE-192?

Plexicus's SAST engine matches the data-flow signature for CWE-192 on every commit. When a match is found, our Codex Remedium agent opens a fix PR with the corrected code, tests, and a one-line summary for the reviewer.

Where can I learn more about CWE-192?

MITRE publishes the canonical definition at https://cwe.mitre.org/data/definitions/192.html. You can also reference OWASP and NIST documentation for adjacent guidance.

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SAMPLE HANDOVER · ILLUSTRATIVE

Sample evidence handover

A trimmed view of what your team receives at the end of an AI Swarm Pentest engagement. Real engagements include full technical evidence, executive narrative, and a remediation plan.

VALIDATED FINDING Evidence attached

Server-Side Request Forgery in webhooks/receiver

demo-project/sample-app · src/webhooks/receiver.py:42

SeverityHigh CVSS 3.18.6 Priority79 Confirmedvia replay

Untrusted caller-supplied URLs reach an internal egress without an allowlist. Replayed in a sandbox against a fresh authorised target — the same control was validated to fail twice.

REVIEWER-READY REMEDIATION Merge-ready PR

Validate the target URL against an allowlist of permitted hostnames. Reject private/internal IP ranges. Enforce HTTPS only.

plexicus/remediation/webhooks-ssrf 3 changed · 0 new files
42resp = requests.get(target_url)
42+if not is_allowed_host(target_url):
43+  raise WebhookRejected(target_url)
44+resp = requests.get(target_url, timeout=5)
Every engagement hands over:
  • Executive briefing
  • Validated findings list
  • Merge-ready PRs
  • Compliance mapping (NIS2 · DORA · CRA)