Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AA31BA0A2C0FD12046780C1B0EEE6D9F3B6421AFB490ED436DD9AD6B3DECA701E7555 |
|
CONTENT
ssdeep
|
1536:Rc6LtJxn7jzSvazX/5XPrG/r1GzI2zQ2N0msQw:KrwzzVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d207f03ee4e11dd2 |
|
VISUAL
aHash
|
02042c200600fcfc |
|
VISUAL
dHash
|
9cddd9dcdc7c8494 |
|
VISUAL
wHash
|
06070f672f04fcfc |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
9264643ab04d4db6,b8962f6fb6d4ccb7,f1ccce8686ccccc6,d6e9cc8cccc84a5a,9cddd9dcdc7c8494 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.