Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BA3CE234119392B4437C2D1306A5B3BD1A6D95FFAE70E404EECCBFA6AF9CA0741A15D |
|
CONTENT
ssdeep
|
1536:GtpR4nXBKpSpFl26vk2H6dU/MgWBakBmnX:6UMh2H6dU/MgWBakBmnX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9340ec3fead097b0 |
|
VISUAL
aHash
|
ff000e0e0e0e0eff |
|
VISUAL
dHash
|
23d8dc585c5858a3 |
|
VISUAL
wHash
|
ff080e0e0e0e0eff |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
23d8dc585c5858a3,0042401100002606,81630d0923074705,7d7f7f67735f6e1d |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)