Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BE3A631D3042D6F433B95C174B97794209BA60DEA160E48A3AC53F93BFECB27D26499 |
|
CONTENT
ssdeep
|
3072:xpeWThhERDQHFJlWlUIkThntY3tTq77PnGTxZDZDZDZDZDZDZDZGp/m6pS:xpeWThqUHFJlWl8ntY3tTq77PnGTxZDt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
897789a55ea97588 |
|
VISUAL
aHash
|
0318080018db1b19 |
|
VISUAL
dHash
|
06b1b271b292b333 |
|
VISUAL
wHash
|
831818185bfffb19 |
|
VISUAL
colorHash
|
30010003000 |
|
VISUAL
cropResistant
|
82a1e46d2dc080a0,0212124c4c320a82,06b1b271b292b333 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.