Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1655195376420CD2F62235521F9D2B105CAECE20BC677AE60B62C21AE29CAFC055F3271 |
|
CONTENT
ssdeep
|
48:TGiNPAyg5bq/gsoXgspMdPMdWssROJf5E4Fz8FbDQF9:TGemC0XtMxMUB+BEy8p29 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d5037601d7976e1 |
|
VISUAL
aHash
|
0000ffffff9181bf |
|
VISUAL
dHash
|
8286713232251763 |
|
VISUAL
wHash
|
0000ffffff01811f |
|
VISUAL
colorHash
|
0e180018000 |
|
VISUAL
cropResistant
|
aa9696aa9e9633b2,8286713232251763 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.