Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DB34D60361CB57A5A7343E760DB2602B27D521BD40E4820B364EDED6BADCCAA133FD5 |
|
CONTENT
ssdeep
|
1536:2X9hECvEXXFfbsQmlo2h2wV9LHd8tVPTMn57Bd/uqXwiU8z:cIXjUMAL98n0dBXw8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c00f39b26fe196e1 |
|
VISUAL
aHash
|
00047470766e6000 |
|
VISUAL
dHash
|
9cbcc4c4cc8c9180 |
|
VISUAL
wHash
|
020e7e7e7efe6040 |
|
VISUAL
colorHash
|
38030000000 |
|
VISUAL
cropResistant
|
0000406161400000,000011a4a4110000,9cbcc4c4cc8c9180 |
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 124 techniques to evade detection by security scanners and make reverse engineering more difficult.