Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B38372328085A1374175C1CDE23A7A8DA7C24516EB829F42D3F9876DEE85DF0F91278E |
|
CONTENT
ssdeep
|
1536:HCy84m0cLOQFqOWyvTXIMVc9eCJ3KkhkhkukLsgE:HCy844OQFqOWyvT1CJacgDust |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b3965c666323999 |
|
VISUAL
aHash
|
0038183c3c3c3c00 |
|
VISUAL
dHash
|
0771736969696907 |
|
VISUAL
wHash
|
003c3c3c7e7ebe80 |
|
VISUAL
colorHash
|
30600030000 |
|
VISUAL
cropResistant
|
b1d8f5b5d1641c5c,6c2e2b8b4b4b6e2c,13135818195d2f2b,8d8d2b2bbd0c8f8f,372edd756bcd0706,0771736969696907 |
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 633 techniques to evade detection by security scanners and make reverse engineering more difficult.