Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CE29531A1003A3F519BC3D9F351EB2FA2E39349D74A091152FD835E4FE6E90DA1352A |
|
CONTENT
ssdeep
|
768:MTy5NbW+FwUha3jr46DWrWKrMv7sOy2+y9BH4crIe:y+FwmC8qKrMv7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c364b83bbd13c592 |
|
VISUAL
aHash
|
000060200000ffff |
|
VISUAL
dHash
|
9cc4ccc07040dc00 |
|
VISUAL
wHash
|
00e2fe700030ffff |
|
VISUAL
colorHash
|
39600018000 |
|
VISUAL
cropResistant
|
e850808158d88000,dc86ccc84050c0dc |
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.