Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8A285706225167B0B1B49E8B4306F9EB0E6D38CCA13D91CB6FC42861FD7C625EC26E0 |
|
CONTENT
ssdeep
|
384:qYimfD4ocieiwiwifQT3iNlOihi5ivmffDoxchF0qgkQXkx4lmbglC3l8:aqPZnnh9gIuf4XaQXkxzd8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1c2be9898f7c1c1 |
|
VISUAL
aHash
|
ff00604048408000 |
|
VISUAL
dHash
|
b181ca8292920606 |
|
VISUAL
wHash
|
ff6372627ee28202 |
|
VISUAL
colorHash
|
38000000606 |
|
VISUAL
cropResistant
|
0100696186a18080,81cbc28292860606 |
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 1595 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)