Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6512072510C592B910385C886227B1D30DF527DEB064B2CEABC269ADADBFD3EC7155C |
|
CONTENT
ssdeep
|
48:UNmTNMYOc5gK694Oh5redSsOST7IA8UlWzIGxMvagW2M44oIBcK3L36:87BhRedSsOST7/dWz72BvuvOK3u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1588f8512bf25da |
|
VISUAL
aHash
|
22f8c0c0e0e3f3f3 |
|
VISUAL
dHash
|
c4b0959d88c64647 |
|
VISUAL
wHash
|
22f8e0e0e0e3f3e3 |
|
VISUAL
colorHash
|
38c000c0000 |
|
VISUAL
cropResistant
|
c4b0959d88c64647 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)