Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CC2A73161006E3B42A782CDB762A32FA2E7524AE747091952FD83AD4FF3D54DE3351A |
|
CONTENT
ssdeep
|
768:vSby5N6U8ufhn4eGti7sOy2+y9BH4cLIe:F8u7ai7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926cfc32e93892e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9cc4c4e8c8cc3c00 |
|
VISUAL
wHash
|
00fe7800600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,9cccc4d8e8c9dc3c |
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.