Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DD2B672B1107B3F029783D9B711B36FA2E35249EA55080653FC836D4BD7E61EE2352A |
|
CONTENT
ssdeep
|
768:mSzy5NxBGWxDZNjD8eRreojA7TeeQY7sOy2+y9BH4c1Ie:wJVJRr1ATpJ7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a9038bdc5 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c3c3d8cdc98b00 |
|
VISUAL
wHash
|
64fb70002401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c3c3c2c8cdc90b |
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.