Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDF2A86573011C7B427326EA65D03B65A0A2E308CB32D4D55AAF4EF677C2E76783290F |
|
CONTENT
ssdeep
|
768:/6U11N5mRjC5F+7GfPNThqP7Yqu2rMHlOfhNTT4K9/Kf9V2fPM3fB1wfAd2fPwJf:/Pvq0F93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce39663693c66139 |
|
VISUAL
aHash
|
0018383c1c343434 |
|
VISUAL
dHash
|
6870527179656565 |
|
VISUAL
wHash
|
3c3c383e3c3c3e34 |
|
VISUAL
colorHash
|
07201010000 |
|
VISUAL
cropResistant
|
f8f2d6adaca2b42c,b8b2961a2b2b1d71,6870527179656565 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.