Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128235B726322B8B883DB92EEF73C2D46B2D6549DE8C74450B5C96ACD13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aTEt+EsZx8/G8SRF4QdDatXMmBftNMmBdUcix+y9dQpUDF1E56ITmHDLBABW8KPg:aTEt+EsZ/80OQdDatXMmBftNMmBdUXxK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f7a7064f071e470 |
|
VISUAL
aHash
|
053d3d3d3d3d3d3d |
|
VISUAL
dHash
|
6979697979697979 |
|
VISUAL
wHash
|
013c3c3c3d3d1d3d |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
6979697979697979,eafafefafaf2fefa |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.