# Cyber MB (@cyberwithmb) on tiktok

- id: koinon:creator:tiktok_cyberwithmb
- url: https://koinonlink.com/kol/tiktok/cyberwithmb
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: cyberwithmb
- platform_url: https://www.tiktok.com/@cyberwithmb
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 5063
- following: 107
- posts_observed: 1
- verified: false
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: security
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Cybersecurity projects and tutorials (Python tools, CTFs, Nm, CompTIA Security+ study resources and practice, Internship day-in-the-life and career advice, Beginner traps and job application strategies, Offensive security labs and certification prep
- bio: $whoami
cybersecurity
AI | OffSec | Engineering
👨🏿‍💻🇸🇱🇬🇳
📧 [contact removed]

## Audience (inferred)
- status: present
- description: Cybersecurity students, beginners, and early-career aspirants mainly university CS majors and interns seeking Security+ certs and entry-level roles
- roles: dev
- seniority: learner
- pain_points: Sending hundreds of internship applications with little response, Finding practical beginner projects that stand out on resumes, Choosing effective free or low-cost resources to pass Security+, Avoiding common beginner traps while building fundamentals and skills
- posts_analysed: 100
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: true
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 40
- authenticity_basis: profile_shape_only
- credibility_score: 40
- flagged_for_review: false
- koinon_bd_grade: C — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [tiktok_cyberwithmb#439c6cff] How to Build, Break, and Fix a Vulnerable API in Flask using Python 🧑‍💻 Here’s the start to a great project…. See how you can build this simple Python Flask API while keeping the security lens on it.  Now in this project, we are building our own API server. That means we are cr (https://www.tiktok.com/@cyberwithmb)

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=76, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=76, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=78, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=76, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=78, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=78, method=platform_profile

## Freshness
- profile_checked_days_ago: 78
- content_analysed_days_ago: 76
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 6
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=tiktok_cyberwithmb
- Request removal: https://koinonlink.com/claim?k=tiktok_cyberwithmb
- Terms: https://koinonlink.com/for-ai