Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B06232217304083F447386E4F6E1B73851AED184EA4B9929F1BD427A17CBC99ED37AD8 |
|
CONTENT
ssdeep
|
384:uryjOzBy9XxURLE/Srcd5BOAZs7tHEEtEc8ZKnR:u2jOzE9XxURLE/Srcd5BOAZs7tHEEtE+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd8822f763a2b8b2 |
|
VISUAL
aHash
|
ff181838b8b8ff00 |
|
VISUAL
dHash
|
2232337272726299 |
|
VISUAL
wHash
|
ff18183cb8b8ff00 |
|
VISUAL
colorHash
|
16206000000 |
|
VISUAL
cropResistant
|
6a323233f2727272,90e874ba5a0ccc8e,e661900e44d8e186,7272626666002000,3232337272727272,00104c6969490640,20d2c020929060c0 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.