Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C531F30A421D936419FB6D59175472962B3D30ACA1307E9FBF4D7BA8BCEC68CE23254 |
|
CONTENT
ssdeep
|
1536:L7yHsIxGrvsFCVD2FGvAIrgE8aoYbiZ/BgK8vVKJLG56:L7yH6rvsQ5Dh3vV+LV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c34bf1c95fc3e021 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
d412cd697232080e |
|
VISUAL
wHash
|
6400003c08ffffff |
|
VISUAL
colorHash
|
1b007000000 |
|
VISUAL
cropResistant
|
040014000c0c0e2c,d4d0089b49696912 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.