EN ES PT
Back to Stats

Visual Capture

Screenshot of cobalt-drop.tech

Detection Info

http://cobalt-drop.tech
Detected Brand
Unknown
Country
Unknown
Confidence
90%
HTTP Status
200
Report ID
e7517aa7-514…
Analyzed
2026-06-27 16:39
Final URL (after redirects)
https://cobalt-drop.tech/

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T19E4163611045F83F1232A2D6D7273BBA71CB420ACB46552041FA1AB45AF5CA4EE334E9
CONTENT ssdeep
48:VacVCSXITNmTNMTNrdxc/RQid3OuLTY2IJSoHFkdx4:V0S0qspJda2

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
b2256dd2c26d38f2
VISUAL aHash
800207776e4c8080
VISUAL dHash
2ece1ccccc9c0611
VISUAL wHash
8307077f7fcec0c0
VISUAL colorHash
38003000080
VISUAL cropResistant
2ece1ccccc9c0611

Code Analysis

Threat Level ALTO
⚠️ Phishing Confirmed

📡 API Calls Detected

  • /api/track

📊 Risk Score Breakdown

Total Risk Score
0/100

🔬 Comprehensive Threat Analysis

Threat Type
Unknown Threat
Target
General public
Attack Method
Phishing webpage
Exfiltration Channel
Unknown
Risk Assessment
LOW - Automated credential harvesting with Unknown

🏢 Brand Impersonation Analysis

Impersonated Brand
Generic Phishing
Official Website
N/A
Fake Service
Credential harvesting service

⚔️ Attack Methodology

Primary Method: Phishing Webpage

Generic phishing page with unclear attack methodology. May use social engineering, brand impersonation, or other tactics to deceive victims.

Secondary Method: Standard Phishing Techniques

Uses typical phishing tactics including brand impersonation, urgency tactics, and social engineering to trick victims into providing sensitive information.

🌐 Infrastructure Indicators of Compromise

Domain Information

Domain
cobalt-drop.tech
Registered
2026-05-06 13:33:39.120000+00:00
Registrar
NAMECHEAP INC
Status
Active (52 days old)

Hosting Information

Provider
Namecheap
ASN

🤖 AI-Extracted Threat Intelligence

Similar Websites

Pages with identical visual appearance (based on perceptual hash)

😰
"I Never Thought It Would Happen to Me"
That's what 2.3 million victims say every year. Don't wait to become a statistic.