Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13512378312090969C7B2448958106654E383E68FCD6487B056FD4F7F2FEAE9162B2F7F |
|
CONTENT
ssdeep
|
192:4ReOdH2HjbC1jJN9gEPYVjw6m6OHHdkA9Ih7wX8YQ+hRLz:CH2AfGh7tKhd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc2d43c38d4c6969 |
|
VISUAL
aHash
|
fbc7839fdffcfcfc |
|
VISUAL
dHash
|
2334363632110101 |
|
VISUAL
wHash
|
8183838389fcfcfc |
|
VISUAL
colorHash
|
076000000c0 |
|
VISUAL
cropResistant
|
2334363632110101 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.