Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEB2EA12C2551DA2629188EAF0DDB7F6B13000DACF175A46A79F473D9FCF67A2362348 |
|
CONTENT
ssdeep
|
384:GJ/X4lzSukfAHRc+aXIwN0XcN0XINcX50XZNcX4ztN8XmcVIC4zhbIFamcPl2cGC:W/X4azNAcNAIN45AZN44ztNYmuGzlIFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce993166ce993166 |
|
VISUAL
aHash
|
0000003c3c000000 |
|
VISUAL
dHash
|
00000c60600c0000 |
|
VISUAL
wHash
|
0000303c3f3f0f0f |
|
VISUAL
colorHash
|
38080007000 |
|
VISUAL
cropResistant
|
00000c60600c0000 |
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 79 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)