Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175235B726322B87883DB92EEF7382D56B2D5588DF8C74454B5C956CD23C3C816287BB4 |
|
CONTENT
ssdeep
|
768:aC+EsZx8/G8bRF4HDawSMLBTw7MLBJUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvM:aC+EsZ/8VOHDawSMLBTw7MLBJUXx+y93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3cd1c1e590c1c6 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
7d7171714d4d5d71 |
|
VISUAL
wHash
|
ff81818181bdbd99 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
7d7171714d4d5d71,b3f0f433ccd4dcd0 |
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.