Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9B391D61628438CA14B996DEF2FFE05131FB0AAB95889801A4FC66CD2DF4D6F70752C |
|
CONTENT
ssdeep
|
768:z2e+07+wrTw6hxG70rB0RQ7HEE/9PyfR8MRERXQHK51qRXUyX/9PyfR8MRERXQHG:SW0RQ7HEEFsR8MLqcvXFsR8MLqcM20 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c7c49193c6c693 |
|
VISUAL
aHash
|
ff81c1c1c1818181 |
|
VISUAL
dHash
|
2b3b230b1b1b2b23 |
|
VISUAL
wHash
|
ffc3c1c1cbc181c3 |
|
VISUAL
colorHash
|
1e201018000 |
|
VISUAL
cropResistant
|
2b3b230b1b1b2b23,f2f9e9f4f086f8c1,78828c989a4679e2 |
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 148 techniques to evade detection by security scanners and make reverse engineering more difficult.