CVE intelligence and bounded remediation

CVE-2025-2811 — A vulnerability was found in GL.iNet GL-A1300 Slate Plus, GL-AR300M16 Shadow, GL-AR300M Shadow, GL-AR750 Creta, GL-AR750S-EXT Slate...

Medium CVSS 6.9

A vulnerability was found in GL.iNet GL-A1300 Slate Plus, GL-AR300M16 Shadow, GL-AR300M Shadow, GL-AR750 Creta, GL-AR750S-EXT Slate, GL-AX1800 Flint, GL-AXT1800 Slate AX, GL-B1300 Convexa-B, GL-B3000 Marble, GL-BE3600 Slate 7, GL-E750, GL-E750V2 Mudi, GL-MT300N-V2 Mango, GL-MT1300 Beryl, GL-MT2500 Brume 2, GL-MT3000 Beryl AX, GL-MT6000 Flint 2, GL-SFT1200 Opal, GL-X300B Collie, GL-X750 Spitz, GL-X3000 Spitz AX, GL-XE300 Puli and GL-XE3000 Puli AX 4.x. It has been declared as problematic. This vulnerability affects unknown code of the component API. The manipulation leads to inefficient regular expression complexity. It is recommended to upgrade the affected component.

Severity
Medium
CVSS
6.9 (4.0)
Published
2025-04-26
CISA KEV
Not currently listed
Ecosystem
software/application
Weaknesses
CWE-400, CWE-1333

Affected products

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Matched remediation archetype

Resource exhaustion and denial of service

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Check exposure

  • Identify attacker-influenced work factors including input size, nesting, compression, fan-out, regex cost, allocation, recursion, retries, and connection lifetime.
  • Map per-request and shared CPU, memory, disk, descriptor, thread, queue, and downstream-service limits.
  • Determine whether authentication, tenancy, quotas, and rate controls apply before expensive processing begins.

Remediate safely

  • Bound input size, nesting, expansion, work, concurrency, queue depth, retries, and execution time before resource-intensive processing.
  • Release resources on every success, error, cancellation, and timeout path and use backpressure instead of unbounded buffering.
  • Update affected components and add small deterministic tests that assert resource ceilings rather than exhausting a host.

Authoritative sources

Complete CVE record and remediation plan

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