Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFD1C672830A083D66538A94EAA2F72CD765D705C20EAC48F9EC01B74BC6DE8D4A7374 |
|
CONTENT
ssdeep
|
96:S+bGN9SOcxK55xVo4ia2HQC0LxbKAeZU46u:S9NhOwhxbKf9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
993b664c33999966 |
|
VISUAL
aHash
|
0000191f1c1870c0 |
|
VISUAL
dHash
|
add5b1b2b2b28000 |
|
VISUAL
wHash
|
00011f1f3f7ef8f0 |
|
VISUAL
colorHash
|
38c00008000 |
|
VISUAL
cropResistant
|
add5b1b2b2b28000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.