github/dmca · DIGITAL Command Language

github/dmca Security Scan

Repository with text of DMCA takedown notices as received. GitHub does not endorse or adopt any assertion contained in the following notices. Users identified in the notices are presumed innocent until proven guilty. Additional information about our DMCA policy can be found at

  • dmca

Security Grade

A-

90/100

Scanned 19 July 2026 at 16:24

Create a free account to unlock:

  • Full report
  • AI remediation
  • Pull Request scanning
  • Continuous monitoring

Security Overview

Launchioo completed an independent static security scan of github/dmca on 19 July 2026 at 16:24. The repository received Security Grade A- with an overall score of 90 out of 100. The scan detected 0 critical, 1 high, 0 medium, and 0 low severity findings across 5 analysed files.

Severity Breakdown

Distribution of findings by severity from the latest Launchioo repository security scan.

Security Grade

A-

90/100

Critical
0
High
1
Medium
0
Low
0

Repository Statistics

Trust signals collected during the Launchioo security scan and from public GitHub metadata.

Owner
github
Repository
dmca
Primary language
DIGITAL Command Language
Default branch
master
Files scanned
5
Lines analysed
4,721
Rules executed
54
Scan duration
7s
Repository size
39.3 MB
Stars
6,308
Forks
1,390
Head commit (scan ref)
334fa63b12bd
Visibility
Public
Last scan
19 Jul 2026, 16:24

Security Findings

Top findings from the latest scan. Finding titles and descriptions are fully visible below. Create a free account to unlock evidence, file paths, AI remediation, and exploit chain analysis.

high (1)

  • high93% confidence

    SSRF URL Concatenation

    URL concatenation passed to outbound request client

AI Security Assistant

Available after creating an account

Launchioo does not run AI analysis for anonymous snapshot scans.

Pro for AI Remediation
  • Repository security summary
  • Risk prioritisation
  • AI remediation
  • Secure code examples
  • Step-by-step fixes

Create a free account to unlock AI summaries. AI remediation with step-by-step fixes remains available on Pro.

Create Free Account

Create a free account to unlock the complete repository report

You can see every finding title above. Sign up to unlock evidence, AI remediation, code locations, and continuous monitoring.

  • Full repository report
  • AI remediation
  • Code locations
  • Pull Request scanning
  • Continuous monitoring
  • Historical security trends

Security Badge

Verified by Launchioo — links back to this repository security profile.

Launchioo security badge — Grade A-

Create a free account to copy the Markdown badge snippet for your README.

Security Score Explained

github/dmca received a Launchioo Security Grade of A- with an overall score of 90/100.

The latest scan identified 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity issues.

Higher scores indicate fewer and less severe unresolved security issues relative to repository size, language, and exposure. Scores are designed for comparison over time rather than as an absolute guarantee of safety.

Developers should treat the grade as a prioritisation signal: address critical and high findings first, then improve dependency hygiene, secret management, and secure coding practices.

How Launchioo Analyses Repositories

Launchioo performs static application security testing (SAST) against public GitHub repositories without modifying source code. For github/dmca, the scan reviewed 5 files and 4,721 lines written primarily in DIGITAL Command Language.

The analysis pipeline downloads the repository archive, extracts scannable source files, and executes a curated rule pack covering secret exposure, injection risks, insecure dependencies, unsafe defaults, and common application security anti-patterns.

Rules are selected based on repository language and ecosystem. Findings include severity ratings, rule identifiers, and human-readable descriptions. Evidence, affected file paths, and remediation guidance are available in the full Launchioo report.

Public snapshot scans are point-in-time assessments. Continuous monitoring through the Launchioo GitHub App enables pull request scanning, trend tracking, and faster response when new vulnerabilities are introduced.

How developers should interpret Critical findings

Critical findings represent issues that could lead to immediate compromise, data exposure, or remote code execution if exploited. Examples include hard-coded production secrets, SQL injection sinks, command injection, and authentication bypass patterns.

github/dmca had no critical findings in the latest scan. Continue monitoring because new commits, dependencies, or configuration changes can introduce critical risk quickly.

Critical does not always mean actively exploited, but it does mean the potential impact is severe enough to prioritise ahead of feature work.

Common causes of High severity findings

High severity findings often involve missing security controls, outdated dependencies with known CVEs, weak cryptography, path traversal patterns, SSRF primitives, or unsafe deserialization.

github/dmca reported 1 high severity finding. Review each item for exploitability in your deployment context and assign owners for remediation.

High findings frequently appear in framework configuration, CI scripts, Dockerfiles, infrastructure-as-code templates, and little-reviewed utility modules.

Why repository security matters

Popular repositories like dmca are high-value targets. A single leaked token, vulnerable dependency, or insecure default can propagate across thousands of downstream applications.

This project is tagged with dmca and has 6,308 stars and 1,390 forks on GitHub, which increases its supply-chain exposure.

Repository security is not only about preventing breaches in the upstream project. It protects every developer, package consumer, and organisation that depends on the codebase.

Benefits of continuous security scanning

Point-in-time snapshots provide a valuable baseline, but security posture changes with every merge. Continuous scanning on pull requests catches regressions before they reach production.

Launchioo supports full repository audits, pull request reviews, AI-assisted remediation, and historical trend analysis when the GitHub App is installed.

Teams that scan continuously reduce mean time to remediation, improve audit readiness, and give security reviewers consistent evidence across releases.

Recently scanned repositories

Frequently Asked Questions

What is a repository security scan?

A repository security scan is a static analysis of source code and configuration files to detect vulnerabilities, exposed secrets, dependency risk, and insecure patterns. Launchioo scans public GitHub repositories without modifying them.

How often is github/dmca scanned?

This page reflects the latest public Launchioo snapshot from 19 July 2026. Rescans occur when a new public snapshot is requested or when the repository changes materially.

Can repository security change over time?

Yes. New commits, dependency updates, configuration changes, and refactors can improve or worsen security posture. That is why continuous monitoring and pull request scanning are recommended for active projects.

Why does github/dmca have a A- grade (90/100)?

The grade reflects the number and severity of findings detected during the scan, weighted by repository size and exposure. This snapshot includes 0 critical and 1 high severity findings.

What does a Critical finding mean?

A Critical finding indicates a security issue that could lead to severe impact such as credential exposure, remote code execution, or complete compromise if exploited. Critical items should be remediated urgently.

Is this an official audit of the repository?

No. This is an independent Launchioo security snapshot intended to help developers prioritise remediation. It does not replace a formal penetration test or vendor security certification.

Create a free account to unlock:

Sign up free to unlock the complete repository security report, AI remediation, pull request scanning, and continuous monitoring — without running another scan.

  • Full report
  • AI remediation
  • Pull Request scanning
  • Continuous monitoring