Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117C214D1E7111CA380335BD3693565DA26D1751AAB338F6992F80BAEF358DB4841CDF0 |
|
CONTENT
ssdeep
|
192:OkkznhYN2J/QA4PakfQswrnXm+ZXdJtPGIZe0sYAYQqtLHedr+VxSSa6W5C8Cmpt:27HOA9Lb2+ZXd7t00sOodriOecie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9c92603f964ccd9 |
|
VISUAL
aHash
|
f8f8f8f8dc000000 |
|
VISUAL
dHash
|
c1e1b2913931ce39 |
|
VISUAL
wHash
|
f8fcf8fcfc180084 |
|
VISUAL
colorHash
|
30200038000 |
|
VISUAL
cropResistant
|
a9e9bd8c8c8d879e,c6cfdde8ccd1b5e4,ebcadaf455494d6c,c1e1b2913931ce39,2a674d4347cdcd8b,3363c383031e7cf1 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.