Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155C50A13E3260509B67E98D8F45B6BA639440B4DA2044EB47BADC736BCCF1733560BDA |
|
CONTENT
ssdeep
|
6144:voyeWn2dWWAfquczoRFAVvdQCnbCnucMA:voyeWn2dWWAfqui1QCnbCnuzA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed2933319a38cd66 |
|
VISUAL
aHash
|
c3c3dbdbdbdac3e7 |
|
VISUAL
dHash
|
9e8696b2b2b28e4c |
|
VISUAL
wHash
|
c0c0d8d8dbdac2c3 |
|
VISUAL
colorHash
|
06003010000 |
|
VISUAL
cropResistant
|
23a486b2ae6969aa,9e8696b2b2b28e4c |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.