Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F8261B16044A93B1263C6D9B3B0E75EF681D186CD87018ED5F5E31E2FE2DB2ED16212 |
|
CONTENT
ssdeep
|
384:dgu1J906165Lrf9G+1p2+7ku19u11du1Wu1wu1obpiepzj7JLFu19u1du18Yo6RH:KwDkY+ww9w1dwWwww0Xw9wdwlRH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de7b796165464498 |
|
VISUAL
aHash
|
808c9c96969e9e9c |
|
VISUAL
dHash
|
2b38242424243434 |
|
VISUAL
wHash
|
808c9c96b6be9e9c |
|
VISUAL
colorHash
|
030001c0000 |
|
VISUAL
cropResistant
|
2b38242424243434,0c7032e8f0e8cccc,1770d496b2aaacaa |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)