Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D232A553000C0979D372518E685676949257D18FCC408B70A2B85E7E2BF6FABA193BBF |
|
CONTENT
ssdeep
|
192:4geOjHitHjba1j/7GrwKGrwtKP8Grwt+s1mTNDjwKGmvysMXfAjwKGmgP3Py:pHitAG9GTkGqme8iVRHy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9699696969932b2 |
|
VISUAL
aHash
|
fbc1c1d9f3ffffff |
|
VISUAL
dHash
|
23039313470c0200 |
|
VISUAL
wHash
|
0081c1c183a7ffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
23039313470c0200,1892d2c2c0426063 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)