Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141B2CA70B0109E36447797D6B3E9975743E6D345CA470389D3ED83FE0AEAC60BA27285 |
|
CONTENT
ssdeep
|
384:HxDsNMlXrQp+zTcHxzl0XvtTPfQahKIg3rEmfBOOhMQ:HxD9XcVlQPVIIg3rE6hn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9616696938eded03 |
|
VISUAL
aHash
|
00066e2e06ff7e00 |
|
VISUAL
dHash
|
9ccccccccc2cc0c8 |
|
VISUAL
wHash
|
002e7e3e0eff3e04 |
|
VISUAL
colorHash
|
0a017000000 |
|
VISUAL
cropResistant
|
5c5be46678f80766,565232b4a9a62461,a42a69cbdb966a2a,002c532f2c500140,968ccccceccccc6c,fcd4d8e0c498e9e0 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.