Computer Science Algorithm Master
Score-based assessment (low risk, 28/100). No analyst review available.
Analysis record
- Analysed
- 3 weeks ago
- Version
- v1.0
- Artifact
- SHA256 CFC…E22
- Source
- Findings (non-IoC)
Evidence ledger
Ranked by severity · findings with a source location link to the code viewer
YARA Rule Matches
2 rules| Severity | Rule | Hits | Files | Metadata |
|---|---|---|---|---|
| LOW | postinstall obfuscation | 1 | script.js | - |
| LOW | postinstall system command | 1 | script.js | - |
Network Indicators
Concrete URLs, domains, IPs, emails, and hashes extracted from the analyzed artifact.
Network indicators are queued for lazy loading
Scroll this section into view to load the detailed rows.
Publisher Evidence
Limited evidenceIsabella Carter
Publisher identity, store signals, distribution reach, and warning signals used for context. Treat this as supporting evidence, not a clean bill of health.
Firefox does not expose the same publisher verification data as IDE stores, so this score is deliberately conservative.
12 evidence rows available.
Finding Categories
YARA Rules Matched
2 rulesSecurity Analysis Summary
Security Analysis Overview
Computer Science Algorithm Master is a Firefox Add-ons extension published by Isabella Carter. Version 1.0 has been analyzed by the Risky Plugins security platform, receiving a risk score of 27.87/100 (LOW risk) based on 9 security findings.
Risk Assessment
This extension presents low security risk. Some minor findings were detected, but nothing that would prevent typical usage. Reviewing the detailed findings below is recommended before use in sensitive environments.
Findings Breakdown
- Medium: 7 finding(s)
- Low: 2 finding(s)
What Was Analyzed
The security assessment covers multiple analysis categories:
- Malware Detection: YARA rule matching against 2,400+ malware signatures
- Secret Detection: Scanning for exposed API keys, tokens, and credentials
- Static Analysis: Code-level security analysis for common vulnerability patterns
- Network Analysis: Detection of suspicious network communications and endpoints
- Obfuscation Detection: Identification of code obfuscation techniques
Developer Information
Computer Science Algorithm Master is published by Isabella Carter on the Firefox Add-ons marketplace.
Recommendation
Based on the automated security analysis, this extension appears safe for general use. As with any extension, users should review the requested permissions before installation.
Source Code Not Available
Source code is not available for this version of the extension.
About This Extension
Frequently Asked Questions
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