Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2527533A1053527032757CFF99BB34DE05A80D7EA625851E1FF869C0BE1EB8B17690A |
|
CONTENT
ssdeep
|
192:K8P1I0+3ISyuJAkVAT/v11y9cPQYOGNSE/Fn6J3kW8aoyxX/ca/3yr:K8PHCany9cPQYHAEdn6J3kQoeB/m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b87c86c6e3e33e80 |
|
VISUAL
aHash
|
bf9f8981899fff0f |
|
VISUAL
dHash
|
63343b1b3337d8b8 |
|
VISUAL
wHash
|
bf8f81818181ff0f |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
63343b1b3337d8b8 |
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 937 techniques to evade detection by security scanners and make reverse engineering more difficult.