Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB44FAE2E1B4603B165FD7E5F260BB9EF183918EC9D101D9E2F5136897E1D80BA4348E |
|
CONTENT
ssdeep
|
1536:PsbCr++EI5gwtTA6RTf6BmnTbtzI4C4ImSD3KGjrSD38GIDSD3pGTiSD35GEvSDI:PsGkEF+oIF9K2tp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e74ce64c67470347 |
|
VISUAL
aHash
|
00ff00000000ffff |
|
VISUAL
dHash
|
cd3340122011080c |
|
VISUAL
wHash
|
00ff00081b1affff |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
218811022012080c,4000c0cccc110000 |
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 719 techniques to evade detection by security scanners and make reverse engineering more difficult.