Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CD2A73170007A3B41D782D97771A32FA1A3534BEB4A055592FD83AD0BE7DA8DE3391A |
|
CONTENT
ssdeep
|
384:HSby5N8AaktwD0Gf08lSmzlrvFff2bV8lYIYsOy2+y9BH4ciUIe:HSby5N8AMflNuaC7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9260fc32ed3c92e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
8ccccce8c8cc3c00 |
|
VISUAL
wHash
|
00fe6a00006effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca714d9e9e714596,1080800458988000,9cccc4c8e8c9cc3c |
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.