Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6737532E2870907A06FD2D4B0315B5912958648C7570FBD76BE32B6FACEDF52623398 |
|
CONTENT
ssdeep
|
1536:8AeqCN6SZvfR1r8mf+6P2io71HhaqWy1z6VnaelN8GhFW9uJi16cscrCZpEza5TP:rG6QfR1rp2igHSCMagpCupcscuZpEeOw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1cc30d396ce6936 |
|
VISUAL
aHash
|
fbc3c3ffefcbc787 |
|
VISUAL
dHash
|
12272760d8da9e0e |
|
VISUAL
wHash
|
418181ffcfcb8783 |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
12272760d8da9e0e,cc33fa1a12079434,d7693248cccc442c,4e0b991b094d6ccc,d4cac2c4c8cab4c4 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)