Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115F1815E710018251073C6C06C79BF8863FBEF5BE26A1C2A65AC95D89DE2CBDF50227D |
|
CONTENT
ssdeep
|
96:1QnnllijwF/BKfzsQQj5IleWOFSdX8zjYMLMb0VKHULZ/+Dh+5w:1NwF/WAQQ6zMx/gAWDA5w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d01e03e874e177f |
|
VISUAL
aHash
|
7ef818180808f8ff |
|
VISUAL
dHash
|
e0d2f2f2727a20c0 |
|
VISUAL
wHash
|
7efa18380808f8ff |
|
VISUAL
colorHash
|
07030000000 |
|
VISUAL
cropResistant
|
e0d2f2f2727a20c0 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)