Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170221FB24081193B4382A3D1AB717F2EF3C2538ACD935621E9F9471D2FE9DD1CC2A965 |
|
CONTENT
ssdeep
|
96:tHtVnUkqUNqv2lLVPyNlk01DIJrJ21VUNem5dghSUu548RzQNYlXDikGakQ63:tHtVnUkRNqwR8xnmXghSLNzikGakQ63 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ccc88dd89d99b33 |
|
VISUAL
aHash
|
1818181818181819 |
|
VISUAL
dHash
|
b2b2b2b2b2b2b2b3 |
|
VISUAL
wHash
|
587878581a1f1f1f |
|
VISUAL
colorHash
|
38003200040 |
|
VISUAL
cropResistant
|
20159d8e860e8eb1,b2b2b2b2b2b2b2b3 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.