Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0D1B717E7A44325066403ED665F36DE6762400DC33687C6A9FC811D32BABE24B76ECB |
|
CONTENT
ssdeep
|
96:zZ+plvTPaw/tilVRrtFlX4d1BTK4sR2LivbAteHVRBx8H8o29h8Uexi3D4NOnw:cpTPawkRrtFlodTpOsDtuZ/8UlUNOw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e2629d391dbe42e1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
69c1cd8cc0cd2fe1 |
|
VISUAL
wHash
|
0040e06060ffffff |
|
VISUAL
colorHash
|
3a000038000 |
|
VISUAL
cropResistant
|
8cac471521e3c060,6d49c1cdccc3c5c5 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.