Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188E10EE0C415ED77435385D5ABB16B0B77D1C349CF031940A3F883AB9BCADA0CA266A9 |
|
CONTENT
ssdeep
|
96:TkYSzeFvMSmuSTCctkZtQoESS8ct7h7gHhF8yXqHFm6Xlz/9QYfYfGJ:QYSzeFd8WcwtQVT7gHQTzasuA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ccc749383b2e3c3 |
|
VISUAL
aHash
|
da1afb5a5ad712d2 |
|
VISUAL
dHash
|
a2b2a2b2b2aaaaa2 |
|
VISUAL
wHash
|
da5ada1a5a5b42d2 |
|
VISUAL
colorHash
|
070000080c1 |
|
VISUAL
cropResistant
|
a2b2a2b2b2aaaaa2,3fcf8f6e8bc73838,ccf0d4ccc0dc0b43,53d494842cacea7b,33c44c6d29b2320c |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.