Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA221D30B00238B752778AC1B4A19F0E3217C335C2561E58F7B727A26FCDCE48A667A5 |
|
CONTENT
ssdeep
|
192:a2gBVCygSdJjj3+3SXLZXlIvErEFZ5LfGJLfFVgLfrXLfbaTLfNaYMcfYNqyTzhj:6BJh9VOFZ5LfGJLfF6LfrXLfmTLf4Yrc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e79833669989cc33 |
|
VISUAL
aHash
|
e7e7e7ffe7e7e7e7 |
|
VISUAL
dHash
|
4d4d16964d4d4d4d |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
4d4d16964d4d4d4d,aae0a2e6e6f688cc,0533f0c0e8303470 |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.