Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172B232F56A85181F2683A1C155527F5562C3C067E246867723E54A8E2ACDFF0ECCE33E |
|
CONTENT
ssdeep
|
384:5E14J2iv+MwhrJxMxiOSwmcKYh9tCTZCGkHo83fiwq07Cd7zYv:e13yNwiEcjhEBkI83fiwq0AHYv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93ad0d17a74d1317 |
|
VISUAL
aHash
|
00ffffff040000ff |
|
VISUAL
dHash
|
e8179010c8e8f048 |
|
VISUAL
wHash
|
00ffffff000000ff |
|
VISUAL
colorHash
|
070000003c0 |
|
VISUAL
cropResistant
|
70f0eaeaeae86161,0c16121210161332,b23373726e525272,f000000000494960,6161820561610e20,f0cce8f0f0f0f0f0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.