Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C202BAF4C599983702E3C2D2A2AABF7B72D1424ECA43061686FDC399DBDED50FD02455 |
|
CONTENT
ssdeep
|
96:AKxt0WA5JESJSJS2Gg4wtVhEjy+dNcjl09HDQXN/A3T:A6WzTd442Gg4wSFhQdcT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33869d392c3366b |
|
VISUAL
aHash
|
0818007e7e7e7810 |
|
VISUAL
dHash
|
d032e0d4d4d4d2d0 |
|
VISUAL
wHash
|
5c183c7e7e7e7800 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
d032e0d4d4d4d2d0 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.