Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAA16353602A4C25D1B7C3E1E6F58B7EA285D305CB921B44A3BE837C0FC9C61ED54B66 |
|
CONTENT
ssdeep
|
96:TBUEPFR0hihS88TSdDpqQ23VOe5+FVYqQMYaRvZ2:WwR0hihgTiDpqufs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4a6e4a6e4a6e4a6 |
|
VISUAL
aHash
|
ff00770000000000 |
|
VISUAL
dHash
|
a4108400000042da |
|
VISUAL
wHash
|
ffffffbe000000c0 |
|
VISUAL
colorHash
|
070f0000000 |
|
VISUAL
cropResistant
|
11a4e4e4e4e4a518,a4108000000042da |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.