Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6F2B6BAE015103F162395D9395AFBD891A7CA1FDDE10811E3ACDBBC17E3C6AB40A135 |
|
CONTENT
ssdeep
|
768:KOgjIfjgC+6pZ2NHXwmE3VgoIt8kVXV9VwVzNT7rZ/wxXBda8VDK3Nr0/EuWRDV0:KH6pZ2NHXL8wVXV9VwVzNT7rZ/wxXBdR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb4a96964b4ab692 |
|
VISUAL
aHash
|
fdfbf9f9f9e7ffff |
|
VISUAL
dHash
|
61237333330b550b |
|
VISUAL
wHash
|
8999b9999981ff81 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
61237333330b550b,000040888946c884 |
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 227 techniques to evade detection by security scanners and make reverse engineering more difficult.