Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC23C87108C8BB2756C343C9B360DA0BE3A68044F2B6CA5BF7E5875A17C5D54CD2BB68 |
|
CONTENT
ssdeep
|
1536:zEVIWI1FmABsVVkFP0vqyjWJk9dhpcH3fIhFImfjAaEJhG:zOIbMHZrRrAbG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
953eeab1b484b6c8 |
|
VISUAL
aHash
|
ff00043e0e2e7e78 |
|
VISUAL
dHash
|
71f1ecfcdcdcc0f3 |
|
VISUAL
wHash
|
ff00061e0e6e7e78 |
|
VISUAL
colorHash
|
02200008038 |
|
VISUAL
cropResistant
|
0001416363c90006,fffbcfc7c7e7ca34,96d6e8b0904d0f8e,0a0a010101010001,32d0ecdcdcdcc4f3 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.