Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121D2647261546B3B02D3D3DAB260B71FA3D6828ADB53061643FC835D0BE7E50DE63916 |
|
CONTENT
ssdeep
|
384:keaFka2cl1NJ111qxyGqxFsHnNDBhKjoUflg5/FHsm0nprZb3IYsOy2+y9BH4cCM:keaFr+qstFhKoKJ7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9243b412ed3cb5e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
ccccc0c8cccc8d00 |
|
VISUAL
wHash
|
04fc60300c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cf8e8ec3c3c3,0880880458988000,cc4cc0c8c8cccc0c |
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.