Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F61CBB0E515997782A3E6C87BB5970F33D9C29CCE87074522E893C90EDBC55DD190A1 |
|
CONTENT
ssdeep
|
48:TZcIczPWXEUCHCKPgHF6ubNV8pw1KnlSU1PUCHAmuzz+10Od9N:TZDcy+MJ8Fu+2CH9N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b636c9c9c596c3c1 |
|
VISUAL
aHash
|
cf838787ffffffff |
|
VISUAL
dHash
|
2f2f2d2d2cd00c00 |
|
VISUAL
wHash
|
01010103073f0f0f |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
2f2f2d2d2cd00c00,00000000100c3232 |
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)