Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16052753422053A3D90478BF5F5A5BB6960AD834DDF1B9098F36D82A91BCAD43DC633D8 |
|
CONTENT
ssdeep
|
192:YOlQZNTvsBuBUfem4LM8zl8WpsYmXNm9ble0HNevU:JO1RH8fObBHgU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c79039c7cfb030c7 |
|
VISUAL
aHash
|
7c0c0c3c3c343020 |
|
VISUAL
dHash
|
d8586d6169694864 |
|
VISUAL
wHash
|
ff3c3c3c3c3c3030 |
|
VISUAL
colorHash
|
38001200280 |
|
VISUAL
cropResistant
|
d8586d6169694864 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.