Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B321336984004B2B518462C1AE3A728EE9C24241EE574E21B0EA8B7E5E74F0DC534895 |
|
CONTENT
ssdeep
|
24:hRfDYAAe6BjpxHuzebB/0afsNNauUBMrFoWYc1c3TS0h7q10xIO7:T7YAAe6BVxH6el/0g2auUBMr+WYc1c3T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf82f223d8897632 |
|
VISUAL
aHash
|
c3818199998181c3 |
|
VISUAL
dHash
|
0f2b333333331317 |
|
VISUAL
wHash
|
c3c3839b9b83c3c3 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
0f2b333333331317 |
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.