Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FA2852191406A1A5693A0A0AE72C36F735082C5F28F4BF562F5D276BCCE9F0DC7A35D |
|
CONTENT
ssdeep
|
384:1L/0fxdzt4WaXqRfqppDhOuHD6p2C7EI5kK:1LGxdzchzDc2MD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9936369936cc33b2 |
|
VISUAL
aHash
|
0638181818181818 |
|
VISUAL
dHash
|
cc7170b232b2b230 |
|
VISUAL
wHash
|
6e3c3c383c3c3c3c |
|
VISUAL
colorHash
|
30c00008000 |
|
VISUAL
cropResistant
|
53b23677fcf8e5a4,cc7170b232b2b230 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.