Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3C28330A011EA37415383E9A63997ABB2E2C684CB670B4277F8834E1FD7C64DF67615 |
|
CONTENT
ssdeep
|
768:OgVwmbLJ3t/ZN3zPbm8LGwrNHfRMJd+MJlMMJzU2NPeewfFd1NI8U:OwwaLJ3t/Zh7b9VxXYeRuV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4cb34a93b389b3 |
|
VISUAL
aHash
|
fdf0f0f0f0f0f0ff |
|
VISUAL
dHash
|
2164662222660408 |
|
VISUAL
wHash
|
f0f0f090b0f0e0ff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2164662222660408,2836346c242c2c50 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.