Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DA2426311048D371886CAF86BF9FF2A365287A7DB854201D2E823ED0BEEDD0DE15794 |
|
CONTENT
ssdeep
|
384:FU8i5iul09aWECcthMILmfiFfxbOeagnURY9S2CKEOeagnUCYyI2CnOeagnURYFR:ri5iul0sWCZrD8gDlc+vrqRvQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff807f807f2a6850 |
|
VISUAL
aHash
|
00ffffffffffff00 |
|
VISUAL
dHash
|
7380414900000000 |
|
VISUAL
wHash
|
00ff01efffff0000 |
|
VISUAL
colorHash
|
07040000180 |
|
VISUAL
cropResistant
|
a800510900000000,8040404041434380,100010b210959595,0040400000004000 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Português | Inglês | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)