Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEB133E0C418ED3B471286D9EBFA6B0B76D1C359CB02194497FC43BB67CAC60CB255A9 |
|
CONTENT
ssdeep
|
96:Tk5hbjzeNQeSTgGLjY8wvFTepXHHFSeRXYX/X9oJ:Q5hbjzewkGL8wpH+Xw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c876246da4eea077 |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
26196b4393b36386 |
|
VISUAL
wHash
|
000000f9f9f9fd7f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
2626262626240000,6173739393618382,0000080406262424,0412591906181804 |
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.