Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D191337284648D3B0987C2D41779B25F62C8CA5EF3071652A6ED839D4FD3DA5DC36211 |
|
CONTENT
ssdeep
|
96:TEI1A7QaZFXwxAGJGZFHOKW+IEee/hTW0qKQ1mFuFlVP89l5k2yb6:YIG7QaZ0h0Z1YyhyXKQbf097B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1327388cd8cd9ba |
|
VISUAL
aHash
|
c3c3c3fbfffffffe |
|
VISUAL
dHash
|
9e8d9e3294100100 |
|
VISUAL
wHash
|
00000038cfcffffe |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
9e8d9e3294100100,d8c9df9b97f4dc6c |
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 92 techniques to evade detection by security scanners and make reverse engineering more difficult.