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Informational 18 Bitcoin

sqldb/v2: harden fixture names

Public commit record

What the developer wrote

Authored by yyforyongyu

83/100 · Strong
sqldb/v2: harden fixture names

Sanitize Docker container names more aggressively and add a
random suffix so concurrent test runs do not collide on the
same fixture name.

Normalize unsupported characters, trim leading and trailing
punctuation, and keep the fallback name for cases that sanitize
down to nothing. Add unit coverage for the sanitizer so the
allowed name surface stays explicit.
✓ Descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Mentions testing or verification✓ Names security-relevant behavior explicitly
The short version

What changed, and why it matters

This change tightens how test-only Docker container names are built for Postgres test fixtures. It replaces a simple slash-to-underscore replacement with a stricter sanitizer that allows only letters, digits, underscores, and hyphens, trims leading/trailing punctuation, adds a random suffix, and falls back to a default name if the input sanitizes to nothing. The goal is to stop concurrent test runs from creating containers with the same name and to avoid invalid Docker names. It is test infrastructure hardening, not a fix for a user-facing vulnerability.

Recommended action

No production action required. Reviewers should confirm RandomDBName(t) is sufficiently random and collision-resistant for the expected degree of test parallelism, and that the sanitizer's allowed character set matches Docker's container name rules. Consider whether any CI/test scripts depend on the old predictable container name format.

Security signals we found

01

Test fixture container name collision avoided via random suffix

02

Docker container name input sanitized more strictly

03

Fallback default name prevents empty/invalid container names

04

New unit tests added for sanitizer behavior

Risk score

Why this scored 18/100

Our methodology →
Potential impact 2/30
Exploitability 1/25
Stealth signal 1/15
Affected reach 2/15
Confidence 8/10
Evidence quality 4/5
Human-validated context

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