Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D51C1B39389A6332312C6C3FF34BB68B6D7144EEE966641D1F115BE17C4E6DC00668A |
|
CONTENT
ssdeep
|
48:ep3qnGcdVlWYdm5TnnTXd17x0c710J7K0fXoTCXCgLMdznaNy:mSVllonTXfy2+Jv9qFR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9696369632363c67 |
|
VISUAL
aHash
|
3e3e3c3c3c3c1000 |
|
VISUAL
dHash
|
ece4e0f8e8e8f0a0 |
|
VISUAL
wHash
|
3e3e3e7c3c3c3c00 |
|
VISUAL
colorHash
|
38c00000000 |
|
VISUAL
cropResistant
|
98252d0b0f8fabb3,ece4e0f8e8e8f0a0 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)