Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8F162B1E054DD360B5282C6B7B67B2F7AF5C215CB020A8452F843AA57CEDA1CA12699 |
|
CONTENT
ssdeep
|
96:TkfkzYtqOSTe/bN8v67MAd7wkfjMwvFteRXUHFZeRX7gX/v4ST5+AT431:QfkzYtke58iI67wkLWKO6XRP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
837e01fc81fc81fc |
|
VISUAL
aHash
|
0000ffffffffff7f |
|
VISUAL
dHash
|
40802070608000d0 |
|
VISUAL
wHash
|
00008f9f9f80ff3f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
40802070608000d0 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.