Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10282C5B56001F92F1AB7D2C591E5533BA2F387C7D81216059AFD831E2BC9D05EC7278A |
|
CONTENT
ssdeep
|
384:gMPKU4anzgnC/OrAT5FZ5F0bdfRkuCblF6Fp:R14CYoLMRp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93c76c65b39684c3 |
|
VISUAL
aHash
|
72387e2e6c000000 |
|
VISUAL
dHash
|
c661ecc8c8c4cc33 |
|
VISUAL
wHash
|
72f87e7e6e003c18 |
|
VISUAL
colorHash
|
30200030000 |
|
VISUAL
cropResistant
|
c661ecc8c8c4cc33 |
Fake Nesine site positioned to capture victims through SEO tactics, typosquatting, or paid advertising. Serves as entry point for multi-stage attacks including credential theft and malware distribution.
Malicious code is obfuscated using 4 techniques to evade detection by security scanners and make reverse engineering more difficult.