Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190610D7060008C6B9487C6D8B3F19B5A77C18345CB635B04A7F893ED6FDAC86DE266A4 |
|
CONTENT
ssdeep
|
48:T7YRw9p10s5IP6WN9VAsBE5Bz6kU9jOR8eahMTvptJoh9:TggrIPHXV325wjOmJ4vpnoP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
decf6562063c1b1a |
|
VISUAL
aHash
|
00f8bcbe3c3c0266 |
|
VISUAL
dHash
|
02607170697994cc |
|
VISUAL
wHash
|
00f8bcbefd7c0066 |
|
VISUAL
colorHash
|
07c00010000 |
|
VISUAL
cropResistant
|
6269706969d884cc,3942623979306869,3eb43cfef8714738,9c1e27333198c062,0e20010307060743,3971c51353c78c1b |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.