Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BD18543D000640B2906C6109BA6FF85417E8753CB2D7E7B76B82AA6AEDD9F0D1727E1 |
|
CONTENT
ssdeep
|
96:IVteh+tz9B1tSuSiSz5mk841Dhye6gBfMBUBt0C1:8tftBtJSiSQkBVye6MlD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a74d64735932da13 |
|
VISUAL
aHash
|
0002ffffefe7e7ff |
|
VISUAL
dHash
|
0286265848cccece |
|
VISUAL
wHash
|
000003efe7e767e7 |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
8606295a4dcecece,4049c2128206a6a6 |
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)