Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D6235364501FC2A40A3B3E052B5438F22A1E759DED7476A03F28769AFC7DE8CD2549A |
|
CONTENT
ssdeep
|
96:TVAdLrqWqjDS2YG3qXiTMBhT8GhT85KPFDLFD4FDpFDeFDfFDsFDNFDiFDOFDxb0:hAdnGDrDTohT8GhT85KqwH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc263199279c6677 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
113230302032320c |
|
VISUAL
wHash
|
01183c3c3c3c3c0c |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
113230302032320c |
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 878 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)