Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BEF142E1C054DC37531285E6B7F6671F7996C349CB020A8863F862EB57DAC60CA2369A |
|
CONTENT
ssdeep
|
96:Tk+WP7mohOhHWfeGnVvLyApVvL6v1wvENee2KXeHF+e9XHHkjh7X5u/hgkD0PZ9o:Q+U7mohOhHW1nheAphenB29LB+9uWQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6f5a38282cf4e2c |
|
VISUAL
aHash
|
ffc3821000001800 |
|
VISUAL
dHash
|
4c0e06a8a9ad1000 |
|
VISUAL
wHash
|
ffc3c2100000ffff |
|
VISUAL
colorHash
|
07400000c00 |
|
VISUAL
cropResistant
|
4c0e06a8a9ad1000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.