Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C021F17240513C6B1122D1DC07E5B72536D18583C6871A4466E8D34E6BE5DA2DC97288 |
|
CONTENT
ssdeep
|
24:hR/CL0D/nT/n/xu/9KNeRUgw60H74l9VekCD3cFGMN4a:To0v69KNeeu0H+5CDSB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c819bee2b2e2ba19 |
|
VISUAL
aHash
|
ff181800007038ff |
|
VISUAL
dHash
|
69f2f0e8c8e0f03a |
|
VISUAL
wHash
|
ff181830407c3cff |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
69f2f0e8c8e0f03a,fbfbfb6f65e66afb,20202038c0802090,000830323210080a |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.