Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EA197131B04993F79CB899C8F35962AB1DF958BE766238011F6CB3981C3EC2DE58C18 |
|
CONTENT
ssdeep
|
96:aGvEFaHyWUBGzRBYLg6Hw74FWClR2SxNZWXPurXI5lsqRj:aiE03mwUFRRp94G4Ll |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3b6489c63b6499c |
|
VISUAL
aHash
|
ffffffe7ffffff00 |
|
VISUAL
dHash
|
800c0c4d004000d0 |
|
VISUAL
wHash
|
20830303c0fccf00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
800c0c4d0c000000,00100c32b2320c30,6090906080d0d02c |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)