Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192C34C703228A57A29B303E6909F3312B27D861FD00F4924F794EDAA739DC9D9167F85 |
|
CONTENT
ssdeep
|
1536:TFs3qkb1+235TLR0VJZ/Y6NtaoTVq53QlHxh8N6R8XXhjaPnQWT+FuEpc:8qkb73EV4YTj/mN6yXt1tS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9312ec6de1d8e8c3 |
|
VISUAL
aHash
|
01000c0c0403ffff |
|
VISUAL
dHash
|
33c9c9d9c937004c |
|
VISUAL
wHash
|
bf040c0c0407ffff |
|
VISUAL
colorHash
|
03000600018 |
|
VISUAL
cropResistant
|
006b2b23232b00bf,e6ee8e9a8a8a92be,8080989e92fa80a2,5d2a2b000c004d0e,b7c9c9d9d9d9cd37 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.