Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7D294B1A1102A3F1193C3C97361BB2EA1E3C38ED64A190A53FC835D5BE7E50DE6751A |
|
CONTENT
ssdeep
|
768:CCSy5NhTMZ1yIerufwQ0z47sOy2+y9BH4cLIe:CkMZcI77sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc18c56f932c3cb2 |
|
VISUAL
aHash
|
38108f8feff1f3fe |
|
VISUAL
dHash
|
62b4343d0d2327b0 |
|
VISUAL
wHash
|
10108f87cfc1e3fe |
|
VISUAL
colorHash
|
07000c00009 |
|
VISUAL
cropResistant
|
62b4343d0d2327b0 |
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.