Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19552EC305254AC7B0182D1E5E765BF0B7BE981BDEE67031A12F89BAE1BDBC40CE1D119 |
|
CONTENT
ssdeep
|
192:O55VJrvGk629heU99VAsMsA6bsWo8bG9vMsLFkmTLcNhr:OzPy0ovNLuiMLOLc3r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33364cccccc6633 |
|
VISUAL
aHash
|
c3c7c7efefefeff7 |
|
VISUAL
dHash
|
8e5a5a5858585814 |
|
VISUAL
wHash
|
03030727e3e3e7d3 |
|
VISUAL
colorHash
|
07201000c00 |
|
VISUAL
cropResistant
|
8e5a5a5858585814,e2e66e6d6c6c4c4c |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.