Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101248432D011302F5A135DDA2A3A673921EAF37DFA13449D53BD076DEBCACDAAA74014 |
|
CONTENT
ssdeep
|
1536:9jJc8DBFR1gnzWg8dMj7eee6gN8dMj7eee6w8dMj7eee6Sras+BtIq0G2lgD3E5k:9jlD0J8dMjfy8dMjfw8dMjfSrFYH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e69893c6b333c631 |
|
VISUAL
aHash
|
e7e7e3c7e3e3c3e7 |
|
VISUAL
dHash
|
8d140e0c0e0e0e4d |
|
VISUAL
wHash
|
c7c3c3c303030303 |
|
VISUAL
colorHash
|
00038000400 |
|
VISUAL
cropResistant
|
8d140e0c0e0e0e4d |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.