Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FE28531A020563B42EB81CDB7A27B2E72E38289D749045586FD83FD4BD7E08DD37656 |
|
CONTENT
ssdeep
|
768:ceespS0sOZGft17wyGw7uj7sOy2+y9BH4cLIe:xpS0DGHw67uj7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c743bd3ab139c48a |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
48c0e4c8c8c4d700 |
|
VISUAL
wHash
|
007070706c70ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
008080004c888000,08c8e4c0c8c8c4d2 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.