Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBD29331E004373F129783CAB751BB6EA2D38289EB450A1A53FC835D6BD7D90DA2345E |
|
CONTENT
ssdeep
|
768:MaSky5NbeeKOOCw7kECLfa1IGiI7sOy2+y9BH4c1Ie:VxCYx2lhI7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c242fc3bb129cdc6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
98c4c4cacc2c8100 |
|
VISUAL
wHash
|
00fc7c300e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,98ccc4c2c8cc0c02 |
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.