Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109425212E785261C32DB4169F622D7DE73144295C21E0FA8AE39823FF8886E4D6377CD |
|
CONTENT
ssdeep
|
192:gaTfbAEscCJxjqCN1gJAYnuVZ8m7kLSS6b1fjw1Gzm3Q1o92+HNtsuQiK:zTfbzMJx2zJav1o92+HNOuw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e969969696696938 |
|
VISUAL
aHash
|
ffc38181ffffffff |
|
VISUAL
dHash
|
0f1723233f3f173d |
|
VISUAL
wHash
|
c3c1818183dfc3df |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
0f1723233f3f173d,0068208480804000 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.