Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5C2B831A0006A3B02D382D97361A32FA2E7934EE796055553FD83AD4BF7D94DE3351A |
|
CONTENT
ssdeep
|
384:/Sby5NAojIHY9IGK/CSL2n9yCkN4IHooIYsOy2+y9BH4ciUIe:/Sby5NAofdcN/7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926dfc32e91c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9cccc4e8c8cc3c00 |
|
VISUAL
wHash
|
00f67030600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
5255514d4d695556,1080800458988000,94ccc4d0c8d9cc2c |
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.