Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181E3A831E30C192D7037C6C4E651B79E71B5C206D31A5628D7BA74B6E6CB8EAA5332CC |
|
CONTENT
ssdeep
|
1536:PjQVShbWGy4RVBlT6666B6666AD6666i+:L4ShbWGy3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c77a3a8e7a816a86 |
|
VISUAL
aHash
|
81a220207e3e3f00 |
|
VISUAL
dHash
|
0542425844d2d649 |
|
VISUAL
wHash
|
81a3a2e8fe3e7f00 |
|
VISUAL
colorHash
|
30006000000 |
|
VISUAL
cropResistant
|
0542425844d2d649 |
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 88 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)