Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137F23933F6846D33827362D5F08272D1A7B6551ADB524E60AFCC40BDF3C68B54D3A2A8 |
|
CONTENT
ssdeep
|
768:zNv7ffnv/CiW26kuGS5WLSNAG/J0FFENPNv7ffnv/aUJzAjW7ePohbCSCXW+xn:xSNABE9EfPohbCNXW+xn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5415abe30131ebe |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
00c2c0d036260e3f |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03000000038 |
|
VISUAL
cropResistant
|
033909ceacac2d44,c0c48086a680c0c0,16362007262e3f23,800020c2c668d6d0 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.