Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199C17562D1549D360B6241C6FBB2377FB9F1C245CB420EA422F4137E97CEEA1C9225A9 |
|
CONTENT
ssdeep
|
96:TMAZu7JSu/kz8h7MSfuSTytVBZLdtmMTQ8GGAT431:AAZu4u/kz8hhjujBtdYMk8U8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b170c6ce19b986ce |
|
VISUAL
aHash
|
ffe3c3cbcbffff3f |
|
VISUAL
dHash
|
140e9e92964810d0 |
|
VISUAL
wHash
|
ff000000c0ffff3f |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
140e9e92964810d0,6145515d45057171 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 30 techniques to evade detection by security scanners and make reverse engineering more difficult.