Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184E28571A050AA3F02E783D9B761B71EA2E3C34AEB86060143FD835D4BD7E50DE67526 |
|
CONTENT
ssdeep
|
768:FealnkzodPUaXDj9qAM7sOy2+y9BH4c1Ie:nn/tD4AM7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dc12b52a94bf |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
ccc0c8c8cccd8d00 |
|
VISUAL
wHash
|
447c20206474ffff |
|
VISUAL
colorHash
|
31038000200 |
|
VISUAL
cropResistant
|
0880800030b08000,ccc0c0c8c8cccd8d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.