Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDE2CA32B010763B5257D2CDF3A1F71A92E38249E74A0411A2FD83BD1BD3E59DA3B616 |
|
CONTENT
ssdeep
|
768:7Sky5NMZwZ44Ucwq0z/y7sOy2+y9BH4crIe:D7by7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc1aed28c7a3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d2ccccc2cacccc00 |
|
VISUAL
wHash
|
0064fc70202cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0c0080025cd88000,d28cccc2cac8ccec |
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.