CVE-2026-37555
April 29, 2026, 8:16 p.m.
7.5
High
Description
An issue was discovered in libsndfile 1.2.2 IMA ADPCM codec. The AIFF code path (line 241) was fixed with (sf_count_t) cast, but the WAV code path (line 235) and close path (line 167) were not. When samplesperblock (int) * blocks (int) exceeds INT_MAX, the 32-bit multiplication overflows before being assigned to sf.frames (sf_count_t/int64). With samplesperblock=50000 and blocks=50000, the product 2500000000 overflows to -1794967296. This causes incorrect frame count leading to heap buffer overflow or denial of service. Both values come from the WAV file header and are attacker-controlled. This issue was discovered after an incomplete fix for CVE-2022-33065.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Libsndfile |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-190
Integer Overflow or Wraparound
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.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | libsndfile | libsndfile | 1.2.2 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: NONE
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Timeline
Published: April 29, 2026, 4:16 p.m.
Last Modified: April 29, 2026, 8:16 p.m.
Last Modified: April 29, 2026, 8:16 p.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.