Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EB1EE22C205D85A7215C0B4FA727B6E77904286E7071778D2F0A37AFEC8DE1599A3DC |
|
CONTENT
ssdeep
|
96:v3inVTVEHTspQzAcqkAcLCAcJDAcUGAcZ+Tz8ggHe:v3inVxkzAhkAECAGDADGATL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e363964ca5538da6 |
|
VISUAL
aHash
|
e0e0e0e0f0f8fcff |
|
VISUAL
dHash
|
0303494043431804 |
|
VISUAL
wHash
|
e0e0e0e0e0f0fcfe |
|
VISUAL
colorHash
|
0f0020001c0 |
|
VISUAL
cropResistant
|
0303494043431804,76398ce731982e53,49cb27888e87c038 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.