Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED1342B2512879FB12E653D25A14BB4FF2C5804CCE135680E7F9C28DBBCAE61DDB1246 |
|
CONTENT
ssdeep
|
384:RCOpRgTnBY9eP13ofUcIecnjlJGk/PWTuUwN4zXTRh4/LhH9:2FyMcIeUWx7nw9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93936c6d939c6193 |
|
VISUAL
aHash
|
f30c2e0e2e000000 |
|
VISUAL
dHash
|
c7d8d8dcdcc378e1 |
|
VISUAL
wHash
|
ff0c6e3e6e003c38 |
|
VISUAL
colorHash
|
301c0000000 |
|
VISUAL
cropResistant
|
b20c0c171b4c0e8e,c7d8d8dcdcc378e1 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.