Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140F133E1C048DC3B131386E5B7B52B5F7596C345CF020E9853F852EA5BDACA0C927A99 |
|
CONTENT
ssdeep
|
96:TkU77mohOlzH0XPeGnVPLgVP81wvliUeV3XZdHlgeVXFz/ZcVP7jQPJ:QU77mohOlzH0XFndg+5DZxvz2ljQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4b16f46994e995a |
|
VISUAL
aHash
|
00ffff7fff1000ff |
|
VISUAL
dHash
|
968ea8ba88e6e7b9 |
|
VISUAL
wHash
|
007e7e7e7e0000ff |
|
VISUAL
colorHash
|
070000100c0 |
|
VISUAL
cropResistant
|
968eb0aa88e6e7b8,9e868eb2aa88e6e7 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)