Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189412F3FF02D512A9B0632F0FC81F19DCED6078EE9F4D645A6D0A49D729C984C1E826E |
|
CONTENT
ssdeep
|
48:Qa134RFHvRPAHl+F+urANnDANltANrAN51ANGjjSuON1HAE:Qa1IzPRPAHlw/rANnDANltANrANHANGs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa2ad58d28e8d52f |
|
VISUAL
aHash
|
0101010101ffffff |
|
VISUAL
dHash
|
07cd8d8d1d1dd800 |
|
VISUAL
wHash
|
0101050107ffffff |
|
VISUAL
colorHash
|
1b600030000 |
|
VISUAL
cropResistant
|
07cd8d8d1d1dd800,0004389696182000,13ce8e8c8e8e8c4e |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)