Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188E214217514E93740EB65DAB2B18F6A71F94302EA21074AE9ABC3F91793D5CCF33294 |
|
CONTENT
ssdeep
|
768:wCqV+60Jzcku3NyzcxB60Jzck9BqWOlO5tme4Vm85mR:yXtvR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8e4817f809f00fb |
|
VISUAL
aHash
|
ffe3c9ffc080ff7f |
|
VISUAL
dHash
|
aca6b12121214080 |
|
VISUAL
wHash
|
ffe3c0e1c180c343 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
aca6b12121214080 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.