Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5932AA0E680FD13007744C2F0EE96C5B7BA4616FB0A0D90754DDADA72EB86F41FB295 |
|
CONTENT
ssdeep
|
1536:EKMGyaUowAtn/F6Lh7E2iNJtdRQkOzQ2N0msQw:E3cJ7yVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c41b7936721e2575 |
|
VISUAL
aHash
|
007a72f3f3f3f2f0 |
|
VISUAL
dHash
|
f4f6e6e6e6e6e686 |
|
VISUAL
wHash
|
003072f3f3f2f2f0 |
|
VISUAL
colorHash
|
0a180001000 |
|
VISUAL
cropResistant
|
fefcfcfcfcfcfca4,c0c060e0e0a0c040,f0f8e2a3be33fcf2,1c9cbc7eedd1839d,f4f6e6e6e6e6e686 |
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.