Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AE2A87291106F3F426392CAF3A1F75A63E2878AD74A041653FD832D4BA3D10D92776E |
|
CONTENT
ssdeep
|
768:JQe9uSa2PH3KQ1kGIztwYa7sOy2+y9BH4crIe:Tz5HVWo7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c242f93a9d6d96c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d8c8c4e0cc0cc300 |
|
VISUAL
wHash
|
006470383c0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04609696868e3004,0080800058988000,d888cce4d8cc3cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)