Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EC29531B1007A37129783CAB761E71FE6E2824ADB87080452FD83ED4BE7D54DE6752A |
|
CONTENT
ssdeep
|
768:nSkZQv3kxntFhii9KAT47sOy2+y9BH4c1Ie:w34K7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c24abd39ed46c692 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
c418c4c0d8c8cc00 |
|
VISUAL
wHash
|
00007c7c3838ffff |
|
VISUAL
colorHash
|
3a000000418 |
|
VISUAL
cropResistant
|
0880800458988000,cc1accc4c0c8c0cc |
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.