Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7C2973260106A3F42A3C3C57361A32EA2A3438BE796052593FD83AD8FE7D54DE77516 |
|
CONTENT
ssdeep
|
768:bQSby5NaRHDzOFvn4xfi7sOy2+y9BH4cLIe:sJ7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
924cfc32e93c92e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
8cc4c4e8c8dc3c00 |
|
VISUAL
wHash
|
00fe6820600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca51454d4d715596,1080800458988000,9cccc4c8e8c9cc3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.