Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5E2BA71A140AB3F019792C6B2A0EB5EB3E3834FD74A195652FD432D0BE3E50ED1725A |
|
CONTENT
ssdeep
|
768:ogIQeh+3BySNfFfB14JZ0/2ACWecawcF/RJHfcJHalO7sOy2+y9BH4cLIe:ogk+RflFfH4J62ACWebHFpJHfAHWO7sS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c340f932b969d4cd |
|
VISUAL
aHash
|
000070000000ffff |
|
VISUAL
dHash
|
d8ccc4c8ec0cc300 |
|
VISUAL
wHash
|
006478601e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04200c86860c3004,0080800058988000,d888c4c4c8ccecc3 |
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.