Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0325233A200DC2A8D9B56C8F2C095895059D349FB315CCAB2A492FF7BC4CF169993AD |
|
CONTENT
ssdeep
|
192:pk3/3JYd5mbjpxpjeFx35McnthWeNWbYcM4RJVfMmUU8VCoGll:q3K5IRWPcM4RJVfMmUFCoGll |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b323dccccc2333f0 |
|
VISUAL
aHash
|
3fa72727ffffffff |
|
VISUAL
dHash
|
6048c8cc00480000 |
|
VISUAL
wHash
|
1c04242400c0c1c0 |
|
VISUAL
colorHash
|
070000000d8 |
|
VISUAL
cropResistant
|
6048c8cc00480000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.