Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7C1DC70A1D4E93B0193C3D0A775AB1B72C2835BEA131B2663FA87AC0FD7D56ED49104 |
|
CONTENT
ssdeep
|
48:MEixTEi+ivGHE6TNmTNMlodmU0H5EGG9BNRBHlaSV3JH1pG+p9pvp/Hprm1zNGik:+tRsfU0Z2xn8S/HSQKFoKtpW/G5RCfp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca0e7d742561652f |
|
VISUAL
aHash
|
003c3c3dbc3c0038 |
|
VISUAL
dHash
|
6069e9e969681933 |
|
VISUAL
wHash
|
003c3c3c7cbcf8f8 |
|
VISUAL
colorHash
|
11000038000 |
|
VISUAL
cropResistant
|
c4e39a9e698e9696,6069e9e969681933 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.