Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D613E93114C46A7F918383CBD310AA4FD3978144E6B6894EF9FA871F57C6D88C827B98 |
|
CONTENT
ssdeep
|
768:GKVbkti3Xhc7ENOBRfzIkDZk+/79wTdr1UO/kR54qtpL8SnWxnNwpBIHCDgH9:GKVbktinh4EN6fzIia+D9wTFeO/kIpWK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebeacbcaca86 |
|
VISUAL
aHash
|
fd06060606fffffb |
|
VISUAL
dHash
|
798cecccec3c3313 |
|
VISUAL
wHash
|
fd060606061cfff9 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
0001c96161c90162,96d6e8b294710f8e,c030380b33131313,8c8cecccccececec,5ba7d6cec647c7d7 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.