Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FE2B672A1607B3B419796CAB390B75E63F2834AD34A141252FD835C0FE7E50F92726E |
|
CONTENT
ssdeep
|
768:ZQeXdL1Sur6jacB6GWZTgZW47sOy2+y9BH4crIe:N6xQ+l7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c340f932bd6994cd |
|
VISUAL
aHash
|
000070000000ffff |
|
VISUAL
dHash
|
d8ccc4c8ec0cc300 |
|
VISUAL
wHash
|
006478603c0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04609696868e3004,0080800058988000,d888c4c0c8ccacc3 |
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.