Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECE10DF1D410ED37435386D9A7BA7B0B7391C349CF031A4463F893AE6BDACA0CA21599 |
|
CONTENT
ssdeep
|
96:TkkOnBOknzD71tDlt8v67VhewtGG0SS1WFSuXpHFUEfqX1z/JbOfd2J:QkOngknzD715lt8ivXtGG8sMzIdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0b246cded04c6cf |
|
VISUAL
aHash
|
ffc7c7c7ff000000 |
|
VISUAL
dHash
|
0f0f0f0f1bf00a00 |
|
VISUAL
wHash
|
ffcfc7c7ff000000 |
|
VISUAL
colorHash
|
07001c00000 |
|
VISUAL
cropResistant
|
0f0f0f0f0f0f1b1b,514120252528f5d6,6e9e8e8e8c2d8edc,0000000000000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.