Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC22C2E2D054D93A076341C5B6727BAF77E1C288CF121A2413F853AE6BCFE9199114DE |
|
CONTENT
ssdeep
|
192:V9zYhhHk/A8iI4XGNAZu9ZNzZ0ZNJ95klU8F:nGHk417XtZ4ZdZ0Zjka8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0fc867582e630de |
|
VISUAL
aHash
|
e7c3c7c3cfc3e77f |
|
VISUAL
dHash
|
0f169696969e0ec0 |
|
VISUAL
wHash
|
00c3c3c3c3c3e73f |
|
VISUAL
colorHash
|
07000007040 |
|
VISUAL
cropResistant
|
0f169696969e0ec0 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.