Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122815737D4405C2B1762D1A85F92F399A7A1C243C6171E0961FC924E0FD3D69CD633A7 |
|
CONTENT
ssdeep
|
48:TMydLdEMPWye6+63wgrCIFAaqD/VukIPc2dF0AAaYBkSjriElEnx:TM6vPlNxo/ffE01nk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
839ca6e3bca1c1bc |
|
VISUAL
aHash
|
ff08180000606020 |
|
VISUAL
dHash
|
df69f3b3d3dfd7cf |
|
VISUAL
wHash
|
ff3f190819616363 |
|
VISUAL
colorHash
|
38001240042 |
|
VISUAL
cropResistant
|
df69f3b3d3dfd7cf |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)