Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D313A17823083F2D654BC7E4F7A4FB68522DC254FA2AD168A6BC56B113C7CC4F927884 |
|
CONTENT
ssdeep
|
768:HkaNcFylKXwuDDDDgHHHHwtHHHHwVHHHHw0niyj5x:Hkgck+DDDDgHHHHwtHHHHwVHHHHwYv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3962c619c9ee3e1 |
|
VISUAL
aHash
|
1e606c3e6c600038 |
|
VISUAL
dHash
|
b4d0c8fcc8cc20f1 |
|
VISUAL
wHash
|
7f787e7e6c600038 |
|
VISUAL
colorHash
|
38400018001 |
|
VISUAL
cropResistant
|
8000a0174f800080,b4d0c8fcc8cc20f1 |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.