Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186311F734404CD7B0681D5E05BA6BA1EB6C5C147DE831944A3F843EE1FD7E69CD63142 |
|
CONTENT
ssdeep
|
48:7EzsWo0915huASjDKQ+j6AEIG4XafWA/YtowtpoPw8:D12ysJSf6vj8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccce3331ccce3331 |
|
VISUAL
aHash
|
00001c3c38000000 |
|
VISUAL
dHash
|
2008686060080800 |
|
VISUAL
wHash
|
000c3c3c3c0c0c00 |
|
VISUAL
colorHash
|
38e00000040 |
|
VISUAL
cropResistant
|
c0e99696969694d4,2008686060080800 |
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.
Pages with identical visual appearance (based on perceptual hash)