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dlt-hub/dlt

https://github.com/dlt-hub/dlt · scanned 2026-05-15 16:00 UTC (2 weeks, 6 days ago) · 10 languages

505 findings (96 legacy + 409 scanner) 53rd percentile · Python · large (100-500K LoC) Scanner says 61 (higher by 12)

File as issue Image v2 schema
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 6 days ago · v1 · 88 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
63.5
/100
Repobility
66
88 legacy
9-layer
61
100.0% cov · 0 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5 calibration-aware
Component Sub-score Weight Contribution
structure_score 60.0 0.15 9.00
security_score 64.7 0.25 16.18
testing_score 100.0 0.20 20.00
documentation_score 80.0 0.15 12.00
practices_score 75.0 0.15 11.25
code_quality 50.0 0.10 5.00
Overall 1.00 73.4
Calibrated penalty buckets (security_score): web: 1.6 · docker: 53.8 · threat: 8.8
Severity distribution — click a segment to filter
Active filters: severity: high × excluding tests × Reset all
Severity: Critical 0 High 55 Medium 16 Low 10 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 88 9-layer 0 Crowd 0 Layer: Quality 18 Cicd 64 Security 6
Scan summary Repository scanned at 61.0/100 with 100.0% coverage. It contains 15370 nodes across 1 cross-layer flows, written primarily in mixed languages. Engine surfaced 0 findings. Risk profile is low: 0 critical, 0 high, 0 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 24 of 88 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

high Legacy security injection conf 0.50 [SEC004] SQL Injection Risk: String interpolation in SQL execution. Allows SQL injection.
Use parameterized queries: cursor.execute('SELECT * FROM t WHERE id = %s', [id]). For dynamic table or column names, choose identifiers from a hard-coded allowlist and keep values in parameters.
dlt/destinations/sql_jobs.py:250 injectionlegacy
high Legacy security injection conf 0.85 [SEC004] SQL Injection Risk: String interpolation in SQL execution. Allows SQL injection.
Use parameterized queries: cursor.execute('SELECT * FROM t WHERE id = %s', [id]). For dynamic table or column names, choose identifiers from a hard-coded allowlist and keep values in parameters.
docs/examples/logfire_telemetry_export/logfire_telemetry_export.py:61 injectionlegacy
high Legacy cicd docker conf 0.82 Docker final stage has no non-root USER
Docker images run as root unless the image or Dockerfile switches to a non-root user.
deploy/dlt/Dockerfile.minimal:1 dockerlegacy
high Legacy cicd docker conf 0.82 Docker final stage has no non-root USER
Docker images run as root unless the image or Dockerfile switches to a non-root user.
deploy/dlt/Dockerfile.airflow:1 dockerlegacy
high Legacy cicd docker conf 0.82 Docker final stage has no non-root USER
Docker images run as root unless the image or Dockerfile switches to a non-root user.
deploy/dlt/Dockerfile:1 dockerlegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
dlt/destinations/impl/snowflake/snowflake.py:31 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
dlt/destinations/impl/postgres/sql_client.py:70 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
dlt/destinations/impl/postgres/sql_client.py:44 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
dlt/destinations/impl/mssql/sql_client.py:110 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
dlt/destinations/impl/lancedb/utils.py:28 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
dlt/destinations/impl/lancedb/lancedb_client.py:258 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
dlt/destinations/impl/lancedb/lancedb_adapter.py:33 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
dlt/destinations/impl/lancedb/factory.py:23 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
dlt/destinations/impl/ducklake/ducklake.py:156 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
dlt/destinations/impl/dremio/sql_client.py:82 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
dlt/destinations/impl/dremio/dremio.py:24 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
dlt/destinations/impl/databricks/sql_client.py:19 qualitylegacy
high Legacy cicd docker conf 0.72 Dockerfile keeps pip download cache
Pip's package cache increases image size and can preserve unnecessary artifacts.
deploy/dlt/Dockerfile.minimal:58 dockerlegacy
high Legacy cicd docker conf 0.72 Dockerfile keeps pip download cache
Pip's package cache increases image size and can preserve unnecessary artifacts.
deploy/dlt/Dockerfile.minimal:36 dockerlegacy
high Legacy cicd docker conf 0.72 Dockerfile keeps pip download cache
Pip's package cache increases image size and can preserve unnecessary artifacts.
deploy/dlt/Dockerfile.minimal:15 dockerlegacy
high Legacy cicd docker conf 0.72 Dockerfile keeps pip download cache
Pip's package cache increases image size and can preserve unnecessary artifacts.
deploy/dlt/Dockerfile:54 dockerlegacy
high Legacy cicd docker conf 0.72 Dockerfile keeps pip download cache
Pip's package cache increases image size and can preserve unnecessary artifacts.
deploy/dlt/Dockerfile:40 dockerlegacy
high Legacy cicd docker conf 0.72 Dockerfile keeps pip download cache
Pip's package cache increases image size and can preserve unnecessary artifacts.
deploy/dlt/Dockerfile:19 dockerlegacy
high Legacy quality quality conf 0.62 Source file name looks like an AI patch artifact
Files named as final, fixed, copy, new, or backup are often temporary patch artifacts. They may be legitimate, but they deserve review before becoming production surface area.
dlt/common/normalizers/naming/sql_cs_v1.py:1 qualitylegacy
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