Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BD3C7B27350267D4A3743D934A8375EA342E34EDA2708C1FA998378EFDADB1B451345 |
|
CONTENT
ssdeep
|
3072:BpY5XUdSwMAPwuzt7w8P6Q0HvEQiZPBBeFvmPqyjfZ:B5MAPwuzt7w8P6Q0HvEQiZPBBeFvdyjh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93f8ec314a5ba465 |
|
VISUAL
aHash
|
ffffff0c0e0f0430 |
|
VISUAL
dHash
|
550cced9d8dac8e7 |
|
VISUAL
wHash
|
e7ffff0c0e0e0030 |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
550c0cd9d8dad8c9,f2f2f1f4b4bab2ba,0080209091965600,d9d8d8dad8c9c2e5 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.