Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E920AF1166C237E428B83E97626778DE2A9F16EF6770050D6ED47A81BC3C42ED27640 |
|
CONTENT
ssdeep
|
384:MC8r1KKD1DJ0VzpuqmALrwXJDnS7/JwA2ffIgdlevxGeB0F8:MCwDdEq1M/JwGgq3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4383898c3e7c3c7 |
|
VISUAL
aHash
|
8f83e3e3f3f7f3e3 |
|
VISUAL
dHash
|
3e36260ec6cec646 |
|
VISUAL
wHash
|
0f0303a3e3e3e3e3 |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
3e36260ec6cec646 |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.