Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189E3685342146A2E4437C3D07575DB77D2AADA8FFAA70A404FDCC7B62AEAC50B80B51C |
|
CONTENT
ssdeep
|
1536:Kiq0JUgQmTa3MZo+Hd1+I0I1jjC3lepMYbbavXRfZMpsaV:Kr0JOQYj3YUni |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9852f9af69a2a338 |
|
VISUAL
aHash
|
fd1c1c1811ffdfdb |
|
VISUAL
dHash
|
09b4fcf1636e3b33 |
|
VISUAL
wHash
|
fd1c0c1001bfcf9b |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
09b4fcf1636e3b33 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)