Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CF1FEF1D050ED3B075386D9A7B5AB0B7291C349CF470A41A3F883AA6BDACA0CF11599 |
|
CONTENT
ssdeep
|
96:TkVLin7D71tVt8v67MYdREuSS8ct5cewvF9QelXhHFVeZXBz//StiHcfd2J:QV+n7D71Tt8iICREUbcNDiLzC+wdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eca413c96d13936d |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0605070616080002 |
|
VISUAL
wHash
|
cfc7c3c7c3ff0000 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
0a0505070b170e0a,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.