Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3D2AA31B0006A3B42DFC2D97371A32AA5E3638EDB56051592FC83AD5BE3D98DA33517 |
|
CONTENT
ssdeep
|
768:uSby5NOkisEJgI//+Xqie7sOy2+y9BH4crIe:eiVHyXe7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d268fc12ed3892e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9cccc8c8c8cc3c00 |
|
VISUAL
wHash
|
00fe6820204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca51454d4d715596,1080800458988000,9cccc4c8c8c9cc3c |
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.