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Low 26 Bitcoin

Detect nested v1 filesystem data

Public commit record

What the developer wrote

Authored by benthecarman

80/100 · Strong
Detect nested v1 filesystem data

FilesystemStoreV2 already rejected v1 data when a key file was found
at the store root, but it did not inspect namespace directories. This
missed v1 layouts such as primary/key, where v2 expects primary to
contain secondary namespace directories.

For example, an ldk-node store can contain a BDK descriptor below a
namespace directory. The previous check would accept that directory as
v2 data because the root contained only directories, leaving the
incompatible descriptor file undetected.
✓ Descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Explains rationale or failure mode
The short version

What changed, and why it matters

This commit tightens a safety check in a new version of Lightning Dev Kit's file-based storage. The new store (v2) organizes data into folders-within-folders. Previously, it only rejected old v1 data if a stray file sat directly in the root folder, but it missed cases where an old-style file sat one folder deeper. That could let an incompatible v1 data file hide inside what looked like a valid v2 namespace folder, potentially causing confusion or data corruption when the v2 store later tries to use that folder as a namespace. The fix now scans one level deeper and refuses to open the store if it finds such files.

Recommended action

Treat as a defensive hardening fix. Users relying on FilesystemStoreV2 should upgrade so that legacy v1 files nested under namespace directories are correctly detected and rejected, preventing accidental operation on incompatible data layouts.

Security signals we found

01

Data-format compatibility guard strengthened

02

Previously undetected legacy data layout now rejected

03

Potential data corruption / misclassification risk from mixed v1/v2 layouts

04

No input validation bypass or memory-safety issue evident

Risk score

Why this scored 26/100

Our methodology →
Potential impact 4/30
Exploitability 2/25
Stealth signal 3/15
Affected reach 5/15
Confidence 8/10
Evidence quality 4/5
Human-validated context

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