# VECERT Analyzer (@VECERTRadar) on x

- id: koinon:creator:x_vecertradar
- url: https://koinonlink.com/kol/x/VECERTRadar
- schema_version: 1.4

## Identity
- platform: x
- handle: VECERTRadar
- platform_url: https://twitter.com/VECERTRadar
- website: http://analyzer.vecert.io
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 39989
- following: 54
- posts_total: 3243
- posts_observed: 2
- posts_per_day: 8.358
- account_age_days: 388
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.0014
- best_post_interactions: 56
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: Adversary research, Cyber threat intelligence, Critical infrastructure security, Dark web monitoring, Credential exfiltration, Government sector cyberattacks
- bio: ❮ Cybersecurity & CTI ❯

We are a cybersecurity company dedicated to critical analysis and adversary research.

## Audience (inferred)
- status: present
- description: Cybersecurity professionals and threat intelligence analysts focused on government and education sector infrastructure threats
- roles: ads
- seniority: practitioner
- pain_points: Dealing with unconfirmed but high-risk infrastructure compromises in public institutions, Lack of timely alerts on credential exposure from underground forums, Difficulty validating the authenticity of threat claims from dark web sources
- posts_analysed: 11
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 80
- authenticity_basis: engagement_observed
- credibility_score: 80
- flagged_for_review: false
- koinon_bd_grade: A — 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
- [x_vecertradar#4b22e944] 🚨 🇧🇷 PREVENTIVE ALERT: ALLEGED INFRASTRUCTURE COMPROMISE — HIGHER EDUCATION SECTOR / FEDERAL GOVERNMENT (BRAZIL / FEDERAL INSTITUTE OF MINAS GERAIS - IFMG) [STATUS: UNCONFIRMED / ALLEGED SALE OF ACCESS AND PLAIN TEXT SAMPLES / SOURCE: DARKFORUMS UNDERGROUND FORUM / DATE: AUGUS (https://twitter.com/VECERTRadar)
- [x_vecertradar#760f77f7] 🚨 🇨🇴 PREVENTIVE ALERT: ALLEGED INFRASTRUCTURE COMPROMISE AND CREDENTIAL EXFILTRATION UNDER EVALUATION — TECHNICAL AND HIGHER EDUCATION SECTOR [STATUS: UNCONFIRMED / ALLEGED EXFILTRATION AND CREDENTIAL FILES PUBLISHED / SOURCE: DARKFORUMS UNDERGROUND FORUM / DATE: AUGUST 6, 202

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

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, 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=111, 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=0.5, 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=111, 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=111, method=platform_profile

## Freshness
- profile_checked_days_ago: 111
- content_analysed_days_ago: 76
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 12
- 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=x_vecertradar
- Request removal: https://koinonlink.com/claim?k=x_vecertradar
- Terms: https://koinonlink.com/for-ai