Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCC197B2E084AD360B5281C5FBB6377FB7B1C285CB420E7462F4536E5BCAEA1C51259C |
|
CONTENT
ssdeep
|
96:Tr1TzTJMz8p5fSTsB8LdtmMTDphGAT431:lTzTJMz8pUgBUdYMvF8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b178c6c69bce8638 |
|
VISUAL
aHash
|
ffc3c3c3c3e7ff7f |
|
VISUAL
dHash
|
00968a9a9a9604e0 |
|
VISUAL
wHash
|
e7c3c3c3c3c3003f |
|
VISUAL
colorHash
|
07602000040 |
|
VISUAL
cropResistant
|
00968a9a9a9604e0,d9cccc8cfc3c9cdc |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.