Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCB1D73120001E3F9A678A68F7D0FB45165FD349C51B806CE5EE12BE3BD2DA0CD1A4A8 |
|
CONTENT
ssdeep
|
96:TmZBc9lq9tkI+EuQvZke8xxJOVQwZkBDx8xxJVcvHmk4W:32X7OWXDdL3W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc25339a66cd8976 |
|
VISUAL
aHash
|
03073e3c3c7ce0c0 |
|
VISUAL
dHash
|
ffecf0f0e8b08001 |
|
VISUAL
wHash
|
070f3e3c7cfce0c0 |
|
VISUAL
colorHash
|
10007000000 |
|
VISUAL
cropResistant
|
ffecf0f0e8b08001 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.