Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B643B870B4012833059782E5B6267B8AB3E19149CF03173476F8AFFDDAEAC616C29775 |
|
CONTENT
ssdeep
|
768:YM0NO3tvEu6oMYJcXblFqTgChUubefkusFs8VdSjqP5JjM:YNktwoMe+xMTgCLyyFsGdSjqP5dM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc63ea9c43bec054 |
|
VISUAL
aHash
|
000000001edfdfff |
|
VISUAL
dHash
|
471d751f74343734 |
|
VISUAL
wHash
|
00000080ffffdfff |
|
VISUAL
colorHash
|
13000030001 |
|
VISUAL
cropResistant
|
f434333737362400,631d7d155eb43437 |
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 224 techniques to evade detection by security scanners and make reverse engineering more difficult.