Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B02274F0D1E9B6A6C68693D5D332677933A69162DF534B0042FDC7AC1BDAC4CEC06425 |
|
CONTENT
ssdeep
|
192:Ot+EEYa+EEj5dkIT3g+EEJg+EEtwjZHxo7X+EEK52GRT:OtQXQ8I7gQJgQt2FxeXQwRT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fec4c47131393939 |
|
VISUAL
aHash
|
e0f0808080808080 |
|
VISUAL
dHash
|
00a4201000000000 |
|
VISUAL
wHash
|
f0f0c0c0c0c0c0c0 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
00a4201000000000 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.