Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181C2A831B1006A3B12A793CAB761E72FE2E3520ADA97090552F8C3EC4BE7D55DE23519 |
|
CONTENT
ssdeep
|
768:wSkZfBfE2jyblvtdt87sOy2+y9BH4crIe:qbys7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c262bc29cd46d7b2 |
|
VISUAL
aHash
|
000000300000ffff |
|
VISUAL
dHash
|
c4ccccc0c8c0cc00 |
|
VISUAL
wHash
|
00006e783878ffff |
|
VISUAL
colorHash
|
3a000000418 |
|
VISUAL
cropResistant
|
8880800458988000,c492ccc4c0d8c0cc |
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.