Home
» GitHub Advisories
» GHSA-ffh5-w482-c7m5
Description
A Denial of Service (DoS) vulnerability was discovered in the /api/v1/boards/{board_id} endpoint of invoke-ai/invokeai version v5.0.2. This vulnerability occurs when an excessively large payload is sent in the board_name field during a PATCH request. By sending a large payload, the UI becomes unresponsive, rendering it impossible for users to interact with or manage the affected board. Additionally, the option to delete the board becomes inaccessible, amplifying the severity of the issue.
Basic information
Type
reviewed
Severity
high Advisory on GitHub
Open advisory ↗ Repository advisory
—
Source code
Browse source ↗ Published (advisory)
2025-03-20 12:32:41 UTC
Updated
2025-03-21 16:31:28 UTC
GitHub reviewed
2025-03-21 16:31:27 UTC
NVD published
2025-03-20
EPSS Score
Score
Percentile
0.12%
31.48%
CVSS Scores
Base score
Version
Severity
Vector
7.5
3.0
—
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Click to expand
Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:N)
No account or special rights needed—anonymous or random user is enough.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:N)
Doesn’t really leak secrets in a meaningful way.
Integrity (I:N)
Data isn’t meaningfully altered or forged.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.
CWEs
CWE id
Name
CWE-400
Uncontrolled Resource Consumption
Affected packages (1)
Vulnerable version ranges and first patched releases as published by GitHub.
Ecosystem
Package
Vulnerable range
First patched
Vulnerable functions
pip
InvokeAI <= 5.0.2
—
—
cvelogic
Threat Intelligence