Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C52A53462545A3E5223CBA6F2E6B7698199D34EC917CD69F37C0272A3C5ED5C833390 |
|
CONTENT
ssdeep
|
192:sA/pzDDOQVpVga2t5PSADnqAnwlEVaZqEVaZeEVaZ0Z7ZGzh02KQlpq6:vz/K1inA9AnAjZeh0tQlpn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed4e98099292c7cf |
|
VISUAL
aHash
|
ff003020202000ff |
|
VISUAL
dHash
|
71e3c3c3c3c3b74c |
|
VISUAL
wHash
|
ff307070602073ff |
|
VISUAL
colorHash
|
01080007000 |
|
VISUAL
cropResistant
|
6bf0e2e7c3e3c7c3,6c2c2cf6e5745c58,c4e080a6b680d4c4,c00000006010608e,e2e3e3c3e3c3c3e7 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain