Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131C2963170007A3B419792C9B362A72AA2A3538FDB46061993FD83AD4FF7D94DE33516 |
|
CONTENT
ssdeep
|
384:eSby5NA8Og9o1+CnDenh3aD/xu1xGU0C06NwJiLW4IFoeLxdMC8XSn351yW6alKB:eSby5NPIYen3fy9p7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d265fc32e93892c9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9cccccf8c8cc3c00 |
|
VISUAL
wHash
|
00fe7800204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca51458d0d715596,1080800458988000,9cccccc8e8c9cc3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.