Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CE2C732D116BC3F06AB62D1A7B4A35A63D54389CA47072A42FD878D0FFFC90DE424A4 |
|
CONTENT
ssdeep
|
384:mLKII0ZIIIII9KlB9S7obgtqjdFJpWngXf1H1gtHlpW:kKII4IIIII/o8AfJdZq5y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3751c1c3963c6 |
|
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)