Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D73867111476E3F114382E6836CE32AE3C6DA0DCB675A46EFD8831B27C6EE0DD65468 |
|
CONTENT
ssdeep
|
1536:LMwTr9Su5NcVG0aavLPtyZSy0xc1dT5fl0cx9mo8Ap:OnphJxmZq8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506d3e96d496f4 |
|
VISUAL
aHash
|
00003c7e7effd1ef |
|
VISUAL
dHash
|
9493c8d0cccc338c |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc238c9e,8493d3cbc4c8dcd4,4551453131714555,00454d7171514541,2b8b2d6565252550 |
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.