Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8925D72D4906A3701C392D4AB709B8FB3D18289CAB3070A17F4C35D5FDBE95DD2A929 |
|
CONTENT
ssdeep
|
384:lsINLwmX2ZEMXHiyVKurCQrROrKWdhiaLD6:lFwsMEGeQrROrKWzBLD6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1c7329c3a778647 |
|
VISUAL
aHash
|
3c38787c3c7e0001 |
|
VISUAL
dHash
|
d4e0c0d0f0f0d2cb |
|
VISUAL
wHash
|
3c187c7c7e7e2809 |
|
VISUAL
colorHash
|
380010001c0 |
|
VISUAL
cropResistant
|
d4e0c0d0f0f0d2cb |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.