Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134637232D357141390B7C1C8F1664B5A32928A8DC7134A7567FD27BAFECECB53A12298 |
|
CONTENT
ssdeep
|
1536:9pEiv4dS5FXdOoPUgOq6J8RS0fRQa0AhG5UakzD59rYaprfGMetKe2GBkWb9e8s7:667PUgOq64959rYapzGvJeRV0pZk222O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9eecc32c903cd34 |
|
VISUAL
aHash
|
c3c3f3ffc38300fb |
|
VISUAL
dHash
|
2b27e2da0aaa8ab2 |
|
VISUAL
wHash
|
c3c373fbc30200fb |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
2b27e2da0aaa8ab2,7458e470150d29d2,d6693248cccc442c,1d3c585b5c5c7d1c,0d3c5c5b5e5c7d1c,272b392b2b3323cc |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)