Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109A155002284127F81CB87A0E622BB7CD39E86D5CA2FDDDDB2F44405BAC5D599D817E6 |
|
CONTENT
ssdeep
|
96:TjZ2g0HmW+zcV2mW+zc1p/Yw2oa8o4Aop:HZ/0GW+zcVNW+zc3/Wb8co |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2876d319e1ac739 |
|
VISUAL
aHash
|
40607c7c6c644070 |
|
VISUAL
dHash
|
dcc0c9c9d8d898c0 |
|
VISUAL
wHash
|
66707c7c6c6c6c70 |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
a66624362422c884,dcc0c9c9d8d898c0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.