Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4739533659A8D2625EA82C553307F49F242E265CF62D6D0A7F1838CEBD2F16D503FA4 |
|
CONTENT
ssdeep
|
768:25F5xFiMdf/a39asahbiY86iPNveI458LK5kobfI3p5I1SR36Eh5wfxep/pLiRWd:8FiWGpq0ofYcfez |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd02963971a3cd2e |
|
VISUAL
aHash
|
3c183801819bdfff |
|
VISUAL
dHash
|
d871712b33333b2e |
|
VISUAL
wHash
|
3c183c018193dfff |
|
VISUAL
colorHash
|
08000038000 |
|
VISUAL
cropResistant
|
30d0d44831929668,e0d2f3f3b3332724,20c4800020c28484,f9b9b8dab8b5a53d,5c5c4c0c4cce2cbc,cc337196cccc1db8,d1c6c6c4e4a4b63c,d871712b33333b2e |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.