Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AB23E70A044763B42E3E1E5A7215B5EF3E58205CE63164AB2FDC39D2FEBD95EC22205 |
|
CONTENT
ssdeep
|
768:5g/gF/3ydh9h3LOYiaDpm+Qn57BU5ELVaQp0BUN3Y:52WQQ57BwJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2556c3dd0abd5a0 |
|
VISUAL
aHash
|
40006e6e4f070301 |
|
VISUAL
dHash
|
96e5cccc9cde3371 |
|
VISUAL
wHash
|
42077f6e4f0f031d |
|
VISUAL
colorHash
|
30400038000 |
|
VISUAL
cropResistant
|
96e5cccc9cde3371 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.