Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3A3EE23412929274437C2C134AA5B7BD1B6D99BFEE70A410EECC7FA2BF9C90741B519 |
|
CONTENT
ssdeep
|
768:kX6tpR4nXF6YjOpSpFlTC6rrWYbR5D4ptqNv9riWd:kKtpR4nXBKpSpFl26vJbD3Nv9rHd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9713c82d78c86f65 |
|
VISUAL
aHash
|
0004040400ffffff |
|
VISUAL
dHash
|
584c4c8c1c6e002a |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
03000200c00 |
|
VISUAL
cropResistant
|
4548c8ed10202080,0000408080400000,8000619191610080,0000408090004080,8a8a5448aa265253,6c000956562b2b2b,d35c4c4c2c8c1c2a |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.