Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F23B6659209B0620A7A4FF4E87D41171297599FF8B2B0A09E36F7E635C3FF4AD5E008 |
|
CONTENT
ssdeep
|
768:aPtzL0nK+rwOtN2HI5APjLHqqZjispcNmzUTwaE+GnIWnIjiD99jifIxaiq9ucuo:aPtzL0nK+rwOtN2HI5APjLHqqZjispcd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b332cc85c6ce19b9 |
|
VISUAL
aHash
|
ffc7c7c4476fffff |
|
VISUAL
dHash
|
cc0f99098dd9ce36 |
|
VISUAL
wHash
|
67c7c0c0454f6fc3 |
|
VISUAL
colorHash
|
06400010040 |
|
VISUAL
cropResistant
|
cc0f99098dd9ce36,8623b3bbd3e32327,0008303232100800 |
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 437 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)