Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133836732D393151390A7D1D9F1724B4933928789CB134BB567FD23BAF9CECB52622298 |
|
CONTENT
ssdeep
|
1536:oBhgZztsGee8XeSXehYPUgOq61eUdpgJWeUkeeIdqtSiQCAr6tZ4SzOM/3qQfHIG:T1M1PPUgOq6QoIdZfx0Rk222I222222z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cc4e393293c5cc |
|
VISUAL
aHash
|
7c307e4e4c4c4c44 |
|
VISUAL
dHash
|
c0e3e0988a9a8888 |
|
VISUAL
wHash
|
7c707e4e4e4e4646 |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
c0e3e0988a9a8888,099924f031272b2b,d7693248cccc442c,272b6f37477b3b23,93d6692371f1e1e0,5757631961514161 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)