Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0E28431A0196D3F06A7B7D1EBA4A76A7396838DC987076982FCC75C4FEBC90DD06490 |
|
CONTENT
ssdeep
|
384:SwIItkSKQhIIIII9hlBHgdhP21mRLEJLbMksPXC1+7ywXEkmpGpW:3IItk6hIIIIIwJuGLwvKPXq+GwUkmpB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3713c1c3969c3 |
|
VISUAL
aHash
|
00f5ffff3f181838 |
|
VISUAL
dHash
|
97cfcbb5ed73f0f0 |
|
VISUAL
wHash
|
00f5fb7f3f181830 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c888c0c,0000716969000000,97cfcbb5ed73f0f0 |
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)