Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116E2987260006B3B01A79ACAB691B75E63E3834FD34B041666FCC71D5BF3E10D92766A |
|
CONTENT
ssdeep
|
768:kQeXYaQSL5OxJqFchcGBLhb97sOy2+y9BH4crIe:WYCLj6Dr7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c261f91a9d6992c7 |
|
VISUAL
aHash
|
000060000000ffff |
|
VISUAL
dHash
|
98c8c8c8cc0cc300 |
|
VISUAL
wHash
|
006470483e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08304c4d4d4c3008,0080800058988000,d888c8c0d8cc9cc3 |
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.