Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D41F07FE01CB4171B1A82E5BF65BFCC9543590E8B82B9C2A090A04A97ECB9450B715E |
|
CONTENT
ssdeep
|
48:d0nFSaKnGPp1C6+u/iWzVtyeVt2tVt2VtY1VtmpzB:dWSaKGPp06/Jjyej2tj2j+jm9B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
afd06b6ad02fd00b |
|
VISUAL
aHash
|
ffff3fffffa101e3 |
|
VISUAL
dHash
|
8967473330636b0b |
|
VISUAL
wHash
|
7d33379fd70100c3 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
8967473330636b0b,ce86c60616660e26,9c9effaaeafffdff,3b31e6e6361e0626 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)