Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134B1426021221F7F62838274B2E0AFDE71DCEB45E96BE609B1F941626BC6CD4CD46750 |
|
CONTENT
ssdeep
|
96:6ZCTmIaihidn4m5Xn70fXn70wfE9O/3OlRG/KXFQ7q04rtiUzFs9QFXfNGQ+mQZc:6ZLihidntQ/QFUMgP4rt190J8pRSA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663399cc663399 |
|
VISUAL
aHash
|
1800101818001818 |
|
VISUAL
dHash
|
10001432320c1010 |
|
VISUAL
wHash
|
1c1c3838fcfcd8d8 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
10001432320c1010 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)