Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179D2973171106A3B11B7D2CAB7A1F32FA1D3820ADA86081896FCC3BD47E7D54DE63529 |
|
CONTENT
ssdeep
|
768:mSkZWflUW398uNaAZCyeY7sOy2+y9BH4c1Ie:zlbEM7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bc6de54696b2 |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
ccccccc4c8e0ec00 |
|
VISUAL
wHash
|
00006c7c7838ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0880800458988000,cc92ccccc0d8e0ec |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)