Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B021FF1D050EE37431286C5F7B96B4B7691C749CB470641A3F883AAABDAD60CF1158D |
|
CONTENT
ssdeep
|
96:TkQbzDAtD5t8v67M0ddt6lUlmiXlHlaXqWX2E/72tM7yt96fkdt7IhJ:QQbzDA55t8iIOdMl4XE6+7yTakdun |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecc4939bc66c64c3 |
|
VISUAL
aHash
|
ffd7f3d3f3c3ffff |
|
VISUAL
dHash
|
30362626061f0668 |
|
VISUAL
wHash
|
dcc0c0c0c381ff00 |
|
VISUAL
colorHash
|
070000000b0 |
|
VISUAL
cropResistant
|
1036262606170640 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)