Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F022B6B2E208DA3F4257439874426798D15FE10EF6769E74F39C83A52BE2EB28C21165 |
|
CONTENT
ssdeep
|
192:aWKAoZudWnXyaI0ysiOCR0slQ+x57I7PfYOY0/NCRRQAKR9o3V3fJ+XY7htx3nR8:ZB+udWn/oRTdx57IDEs+WS3V3Rb7FRP0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eed1c83e3a2c3932 |
|
VISUAL
aHash
|
c1ffe3000000f0e0 |
|
VISUAL
dHash
|
01c0062e2f062203 |
|
VISUAL
wHash
|
81fffb030303f8f0 |
|
VISUAL
colorHash
|
38001e00008 |
|
VISUAL
cropResistant
|
01c0062e2f062203 |
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 85 techniques to evade detection by security scanners and make reverse engineering more difficult.