Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1456233B09041AB3F42A3A1D4AB761B5FB3839646DB031B2593F9839E5FCBD14CD281A5 |
|
CONTENT
ssdeep
|
384:TpOp2O8BlUPyPFpNk90s9Gs90s90s90s90aDITVup1:TpjUKF86sAs6s6s6s6aDIVu1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9296ac6d6d69e18c |
|
VISUAL
aHash
|
833e7c4c00600060 |
|
VISUAL
dHash
|
02ecc99826ccd0d4 |
|
VISUAL
wHash
|
f37e7c4c10665a62 |
|
VISUAL
colorHash
|
38001008400 |
|
VISUAL
cropResistant
|
02ecc99826ccd0d4 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)