Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEE101E1C044DC3B531386E6F7F9275B7596C349CB060E8853F853AA5BDAC60C923A9A |
|
CONTENT
ssdeep
|
96:Tkfg7kh4lzH03feGnVIoAEywvF5kee2XcHF2e5Xfz/jVI2rQPJ:Qfg7kh4lzH031n1AE1WfhzbrrQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343436db83cfca4 |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
d8cdc4200d236913 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4667a94bda984b4e,00203038300c0811,4300000000000000,040408c8d4c9ccc4,03332323e0cc6363 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)