Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191E2C920A940DC2B01CB5AC95632462A62F98345C6131AC9FEF5C3FA9BEFC6CDB37155 |
|
CONTENT
ssdeep
|
384:c7roUa87KTdB7i7Q7WFi5+yx5a5UXqz4mI9rkms3n15dpPCFEesmsJO5xVZjqTSZ:HUf7KxB7i7Q7WFi5UiDcSbsIx/jk6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c346f9390eed9047 |
|
VISUAL
aHash
|
0000201000cfffff |
|
VISUAL
dHash
|
33ccc465549513ec |
|
VISUAL
wHash
|
0060743000ffffff |
|
VISUAL
colorHash
|
0a007000000 |
|
VISUAL
cropResistant
|
722a6d66642c7c7c,d4941b1313a8d8c8,33cdcce465549413 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.