Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F132FC30A452643B92BBA8DA6276276F71F3825AD9570504B3FCC38D4BCEC89FE21517 |
|
CONTENT
ssdeep
|
192:W9pQhJLLSuCtYeK4F7+0fJZoqHBJWLopFdH8aOBhBHXL:W9ERShtYeXF7+0fboqhJWLopFdH8amXb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c45a3ab963e668ac |
|
VISUAL
aHash
|
0c1c787c7a5a7e02 |
|
VISUAL
dHash
|
7968b6c0d296e4c4 |
|
VISUAL
wHash
|
183c787e7a5a7e02 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
7968b6c0d296e4c4 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.