Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13451C0675481313B0393A2DEE778F798F6C6148BD6931602A0FB869B56EBF10D413D3A |
|
CONTENT
ssdeep
|
48:zwu51GGQngP18d9l7zWhANth8WbC0+aaaan:bGGQgP14l7zWKNP8uQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c833785d338ead0b |
|
VISUAL
aHash
|
c0c073713838f858 |
|
VISUAL
dHash
|
9b8fe3e5d0b0b1b0 |
|
VISUAL
wHash
|
c9c17b753838f858 |
|
VISUAL
colorHash
|
1a006000000 |
|
VISUAL
cropResistant
|
a424242525342424,6cc4c45450706860,b078786898183c36,91b0297cbc7edc99,fa7a6b6b28a8a105,66f0d8e5ec7073b8,6646276e72c362ca,9b8fe3e5d0b0b1b0 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.