Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111D2A632B1007A3711E7C2CAB761EB1FE2E3424AD686055463FC83AD4BD7D54EE2352A |
|
CONTENT
ssdeep
|
768:ISkZPPA/2HwltXTaM/rGmWv7sOy2+y9BH4crIe:i0D4H7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c222bd69cd46d3b2 |
|
VISUAL
aHash
|
000004300000ffff |
|
VISUAL
dHash
|
cccccce4c0c0cc00 |
|
VISUAL
wHash
|
00006c7c3878ffff |
|
VISUAL
colorHash
|
3a000000230 |
|
VISUAL
cropResistant
|
e400800258988000,cc92cccce0d8c0cc |
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.