Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12AE2C532D116B83F06AB63D1A7B4A35A23D683C9CD43476A42FD874D0FEBC91DE524A4 |
|
CONTENT
ssdeep
|
384:mhuII0FIIIII9glB9O7IbkRajdhJ5Wng/bpr1gHHlpW:WuIIMIIIII9gQwPJBRqny |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3791c1c3963c6 |
|
VISUAL
aHash
|
00e7e7ff3f181810 |
|
VISUAL
dHash
|
c7cdcbd3e5e0f0e0 |
|
VISUAL
wHash
|
00e7ebdf7f181818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9d888c0c,0000606868400000,c7cdcbd3e5e0f0e0 |
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)