Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120B1971B630C16A6471B01AC76C3A2FE9155814DF305C7F4ECA8802E3365BE586BAF8B |
|
CONTENT
ssdeep
|
96:gIo9PqB/tizVRZt/7pdm+YULlU4N6Do9RUwWIRAc:Bo9PqBkTZt/7vVZLlUEiozUjo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcecc7c3183c6607 |
|
VISUAL
aHash
|
ffbf839f9fcf871f |
|
VISUAL
dHash
|
81482eb33b8b487c |
|
VISUAL
wHash
|
ff3f830909c70707 |
|
VISUAL
colorHash
|
07002030000 |
|
VISUAL
cropResistant
|
81482eb33b8b487c,4743437545555571 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)