Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174A30E3091204B3705D392C5DBF7632F2095D719CE220D9EABF8436A6FDFD98AB18526 |
|
CONTENT
ssdeep
|
1536:+LVc3I9sQtaUcPjMAn/o/DpAWzUar0imLAG2AtKAyPc0RDOkkTuOJm:DOacomyrTuum |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd817370b1cb66e2 |
|
VISUAL
aHash
|
6e383d3c1c00389c |
|
VISUAL
dHash
|
d8f2e1f2b0f0e050 |
|
VISUAL
wHash
|
7e3d3d381c0038bf |
|
VISUAL
colorHash
|
31207000000 |
|
VISUAL
cropResistant
|
d8f2e1f2b0f0e050 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.