Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BC28531F1406A3752A3C2CD7671672EA1EB830ADBC5095692FD83AE1B93D54DE2342D |
|
CONTENT
ssdeep
|
384:9bQepDJGtRxYDjTtPdVw3vyTL0Mls8qfqIYsOy2+y9BH4cCUIe:1QepDbXw3vy/4C7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d246dd329129b9cd |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
18e4c0c8cd8d8300 |
|
VISUAL
wHash
|
0cfc30006445ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,18cce4c8d8cd8d83 |
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.