Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B632BA7472505ABB91CBD2E1B675AB5BB2C4CB4BCA57D701A3F983884FC7C92CD88214 |
|
CONTENT
ssdeep
|
192:+Z6BfwkK0tC/MnwpwaocuwJ3O5uxTRWAwzDfS:w6hNtCEnw9uAnJRWAwzDq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33266669999cc99 |
|
VISUAL
aHash
|
e7e7e7ffe7e7ffe7 |
|
VISUAL
dHash
|
4d4d4c584d4c5008 |
|
VISUAL
wHash
|
e0e0e0e0e3e3e3e3 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4d4d4c584d4c5008 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)