Cyber Resilience

CVE-2026-93019

Published
18 September 2026
Modified
18 September 2026
CVSS Score v3.1 9.1
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H
EPSS Score 0.0065 49th percentile
Risk Priority 68 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2026-93019 is a critical-severity Unsigned to Signed Conversion Error (CWE-196) vulnerability. Its CVSS base score is 9.1 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Endpoint Denial of Service (T1499); ranked at the 49th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SA-15 (Development Process, Standards, and Tools) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

Imager versions before 1.036 for Perl exit the process reading a TGA with a colour map length of 32768 or more in tga_palette_read. The reader unpacks the two-byte colour map length into a signed short, so a length of 32768…

more

or more becomes negative. tga_palette_read() casts that value to size_t and asks mymalloc() for a size near SIZE_MAX. The allocation fails and Imager's allocator calls exit(3). Reading an attacker-supplied file through Imager->read() triggers an uncatchable exit.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1499 Endpoint Denial of Service Impact
Adversaries may perform Endpoint Denial of Service (DoS) attacks to degrade or block the availability of services to users.
T1499.003 Application Exhaustion Flood Impact
Adversaries may target resource intensive features of applications to cause a denial of service (DoS), denying availability to those applications.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-14454Shared CWE-196, CWE-789
CVE-2026-24146Shared CWE-789
CVE-2026-47313Shared CWE-789
CVE-2026-77322Shared CWE-789
CVE-2026-59844Shared CWE-789
CVE-2025-27533Shared CWE-789
CVE-2026-5740Shared CWE-789
CVE-2026-46603Shared CWE-789
CVE-2026-22026Shared CWE-789
CVE-2026-58268Shared CWE-789

Affected Assets

—
Imager
inferred from references and description; NVD did not file a CPE for this CVE

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation can discover unsigned-to-signed conversion errors through targeted test cases or analysis.

Requiring documented development standards and tools can mandate safe integer handling and prohibit unsafe casts.

Security engineering principles can include explicit rules for safe type conversion and arithmetic operations.

Resource quotas and priority allocation limit the system-wide impact of an oversized request.

Input validation directly rejects or bounds untrusted size values before any allocation occurs.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 partial match
prevents

Secure SDLC practices (reviews, static analysis, safe integer handling) directly prevent unsigned-to-signed conversion errors during development.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

prevents

Secure development lifecycle mandates practices that can catch or prevent unsafe type conversions.

prevents

Application security requirements can specify safe handling of numeric types and bounds checking.

prevents

Secure architecture principles include choosing appropriate data types and avoiding implicit conversions.

prevents

Secure coding standards directly address avoiding unsafe casts from unsigned to signed integers.

finds

Security testing can detect integer conversion errors through static analysis and fuzzing.

References