Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101332BE97991F1165FB340D2A0AF295B733E241F680C55B0A164DEAE74B805A903FFCE |
|
CONTENT
ssdeep
|
768:JyWuPyfW/u5b+1MbX8UdsY3PTDCokpSxHyOzxHRBaW/Sy3sIWj8zZs8LMRZEdDxy:j3P6eyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c13ac5943bc592de |
|
VISUAL
aHash
|
7c000000007e7a7e |
|
VISUAL
dHash
|
d8c0c0c0dcd4c2c2 |
|
VISUAL
wHash
|
7e2040603c7e7e7e |
|
VISUAL
colorHash
|
3a000c00000 |
|
VISUAL
cropResistant
|
a280c1999c8cc0a2,743703b3a381a1a1,d8c0c0c0dcd4c2c2,6f4dc9d2da9a9d9e |
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 701 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)