Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11432036234887627479313DEAA26E35DF793C047CE2A1E4171E58A8F9FD1D058D234AF |
|
CONTENT
ssdeep
|
96:v5LieDXbcEwc/5SzZkVp4y4BN504DJP4T4likBw0AYIyp+qSAYIwAYIbjpR40fMK:vUEXbcVc/OZyijwyJp+qwpgf40fMU1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6e71919e64c1933 |
|
VISUAL
aHash
|
ffffe7e7e7000000 |
|
VISUAL
dHash
|
a80c4d4d0c121030 |
|
VISUAL
wHash
|
e7ffe7e7e7000000 |
|
VISUAL
colorHash
|
160010002c0 |
|
VISUAL
cropResistant
|
0c694d4d4d4d4d4c,0000148c88868000,743c86c6a2816953,00307028303030b2 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.