Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5B295F0A0245C3D22B352C9E6607B067399E3CDCB4625C1E6F5E26D17CDEA4ED1B282 |
|
CONTENT
ssdeep
|
192:xSvOMDUuAnjBYp2u9TXqdJ2ueoVFsztEoKz7HlG8sVN5IN+zGm4wENdglCmOKJcG:czAnVuY3sztEoiHRs7qN7vgkPMAs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a90cb56a53e6c8dc |
|
VISUAL
aHash
|
0103936349e1c3cf |
|
VISUAL
dHash
|
2f3636cfd3930e1e |
|
VISUAL
wHash
|
03039b63c9f1c3cf |
|
VISUAL
colorHash
|
010060000c0 |
|
VISUAL
cropResistant
|
2f3636cfd3930e1e |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.