Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFC28831B100273F11AB93C9B362F32DA2D39289D74A1D1943F8876E4BE7D50DA1762B |
|
CONTENT
ssdeep
|
768:Re/y5NUqVILg57WUhj7sOy2+y9BH4crIe:dVWaWS7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767b8389c4dc398 |
|
VISUAL
aHash
|
000020200000ffff |
|
VISUAL
dHash
|
044cccc6ccccc300 |
|
VISUAL
wHash
|
00e6f6702400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6e2ccccc3 |
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.