Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1E120E1D050ED3B435386D5E7B96B0F77A5C349CB031A4493F893AB6BCAC60CE22598 |
|
CONTENT
ssdeep
|
96:Tki3z393VnbzH71tDlUR8qXErSSr3gtmMrVlstXDHlr6XEX/Kxgxt7zwYoa:QanbzH715lUjXEuIMro5X/dwg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99994c64a7b3734c |
|
VISUAL
aHash
|
ffffffff00000000 |
|
VISUAL
dHash
|
12315b5870080000 |
|
VISUAL
wHash
|
ffffffff00000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
20931132725b7a70,0000000000000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)