Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11103ED306440E93601CB9AC85636672A63FA8345CA231689FAF9C3F95BDFD6DDE33111 |
|
CONTENT
ssdeep
|
768:fXUf7Dfg1s2R/jO8D7HZatyECgTkR67GJeB5S3pvSScIF:fo7Dfqs2Rq8D7HZMyECgTkR67GJeXS55 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89e9f69681f4c4a5 |
|
VISUAL
aHash
|
ff19d85939140000 |
|
VISUAL
dHash
|
2bbbb393f3ecf461 |
|
VISUAL
wHash
|
ff5dd85939341430 |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
2b3bbbb393b3d3e0,7c402424a884c000,0281a080c0f0fc9f,4140c0808081f4f9,10a0101030202a00,9890e0f030d0c0e0,dcc8cac7e0f8f8f8,bbb393f3e1ec7460 |
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 97 techniques to evade detection by security scanners and make reverse engineering more difficult.