Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181A38B33511835274437C6D530A55B3BE2A69E4FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:U4FLz4NP/y9svbliCd0k6uTFtiuCa28y2O9:19mA7cY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d360bc1eed2ec432 |
|
VISUAL
aHash
|
00000000000004ff |
|
VISUAL
dHash
|
928cccc2c8ec2cd8 |
|
VISUAL
wHash
|
0064f470203cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8011a0815c588090,968c8cc2cac8cc0c |
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.