Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10092D8B39A04263703E343D1638EB3CEEB9688975B3259A0D7BD411C6381D7997727E4 |
|
CONTENT
ssdeep
|
384:XERoiKTFxct0pRcK6ByuOegy+MaIsz+3nsPidj:lNGWGskSU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b89cc7c631383ace |
|
VISUAL
aHash
|
efff8f8fc7c7c7cf |
|
VISUAL
dHash
|
0c24381a1c2c2c1c |
|
VISUAL
wHash
|
e70187878787878f |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
0c24381a1c2c2c1c |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.