CVE-2026-37526
May 1, 2026, 8:16 p.m.
7.8
High
Description
AGL app-framework-binder (afb-daemon) through v19.90.0 allows any local process to execute privileged supervision commands (Exit, Do, Sclose, Config, Trace, Debug, Token, slist) without authentication via the abstract Unix socket @urn:AGL:afs:supervision:socket. The on_supervision_call function in src/afb-supervision.c dispatches all 8 commands without any credential verification. The abstract socket has no DAC protection, as acknowledged in the official CAUTION comment in src/afs-supervision.h. This allows a low-privileged local process to kill the daemon (DoS via Exit command), execute arbitrary API calls (via Do command), close arbitrary user sessions (via Sclose command), or leak the entire global configuration (via Config command). The vulnerability was introduced in commit b8c9d5de384efcfa53ebdb3f0053d7b3723777e1 on 2017-06-29.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Agl |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-284
Improper Access Control
The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor.
*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 | agl | app-framework-binder | 19.90.0 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: LOCAL
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Timeline
Published: May 1, 2026, 5:16 p.m.
Last Modified: May 1, 2026, 8:16 p.m.
Last Modified: May 1, 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.