Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3C29331B050363B56ABC2C97752B31EA2E39249DB45090653FD839E4FE7F90CE6352A |
|
CONTENT
ssdeep
|
768:KS5y5N2KImPjojUGrqMd7sOy2+y9BH4cLIe:CIyVgRd7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f43ede2ccd80 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8cccc0c8c9c70e00 |
|
VISUAL
wHash
|
00ec78302413ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,94ccc0c0c8cde70e |
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.