Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113234A726322B8B883DB91DEF7382D46B2D5588DF8C74450B5C99ACE23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:ax+EsZx8/G8rRF4IDawZOMJBmowKMJBmkwZUcix+y9dQpUDF1E56ITmHDLBABW8n:ax+EsZ/8FOIDawZOMJBbwKMJBdwZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
afdad4d190e590c5 |
|
VISUAL
aHash
|
8581818181818181 |
|
VISUAL
dHash
|
6961696d6d6d6767 |
|
VISUAL
wHash
|
ff81a1a1a5a1b3a3 |
|
VISUAL
colorHash
|
010060000c0 |
|
VISUAL
cropResistant
|
6961696d6d6d6767,f9c0cccccccdc3c7 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.