Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123E2A430E110273B129793CBFB82F31E92E2D649E749191E92F9931D9BE7D50DA1312E |
|
CONTENT
ssdeep
|
768:SSky5NB1M+zPUhDpEDvfhBg9SdeTP7sOy2+y9BH4c1Ie:VYRmzhu9SdeTP7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342dc3e9d28d5c3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8cccccaccec0300 |
|
VISUAL
wHash
|
00fc7c602600ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,c8ccccc8caccbc08 |
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.