Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3E29431A009693F0697A3D1EB64A36BB395838DC9470B6A82FCC74C5FEBD90DD168D0 |
|
CONTENT
ssdeep
|
384:SRIItkSvQhIIIII9IlBHYThP21mKQEJLtM2sQXC13wy948kNpGpW:4IItkDhIIIIILJuLQwRYQXq3N9zkNpB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3713c1c3969c3 |
|
VISUAL
aHash
|
00f1ffff3f181830 |
|
VISUAL
dHash
|
97cfcbb5edf3f0e0 |
|
VISUAL
wHash
|
00f5fb7f3f181830 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c888c0c,0000716969000000,97cfcbb5edf3f0e0 |
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.
Pages with identical visual appearance (based on perceptual hash)