Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141233A72A332B47843DFA1EEE7382A51B2D2998EF9C74594B5C955CD23C3C802593BB4 |
|
CONTENT
ssdeep
|
768:a/+EsZx8/G82tt4HDaw+MLBcowoMLBckwZUcix+y9dQpUDF1E56ITmHDLBABW8K6:a/+EsZ/82tmHDaw+MLB9woMLBTwZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a31c1c1ddcc61cee |
|
VISUAL
aHash
|
0f6f6f6f0f0f6f6f |
|
VISUAL
dHash
|
58dbcbd9dbd8cbd9 |
|
VISUAL
wHash
|
0f6f616d0f0f6161 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
58dbcbd9dbd8cbd9,929a18a082baa4b0,ba9a8a5818908487,c0d8dcc0d0c0d0d4 |
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.