Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F10331708491763B829392C1E7356B9BB3D18249DB230B1427FC932D5FCFC55ED26AA8 |
|
CONTENT
ssdeep
|
768:/Yus9Rtk+ek/tkLIFL3jrIwu81fZeeeQeeedeeeZ8eeeOs9aidgXGLBMSJrX3c1A:/ds9Rtk+ek/tkLIFL3ntblZeeeQeeede |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e99c92e3447998dc |
|
VISUAL
aHash
|
ffff88006061e010 |
|
VISUAL
dHash
|
c63c32b2c2cb4aa3 |
|
VISUAL
wHash
|
ffff80c0f0e1e810 |
|
VISUAL
colorHash
|
0fc00000000 |
|
VISUAL
cropResistant
|
0000000000000000,020052262e01003c,51953158b262e434,38bc56a8c8e4e25a,4000c8cc94c00440,32b292c2cbcb62a1 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.