Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5A38A33411935274437C6D530A55B3BD2A69E4FFAA70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
3072:pjYuRY/PWiXW8ShY/4431dvdfo5Y7SBmmA1h:Kh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43add2ac54a |
|
VISUAL
aHash
|
00002000000001ff |
|
VISUAL
dHash
|
948cc6c2c8cde1a8 |
|
VISUAL
wHash
|
00e7f3300024ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
2204a081185880a0,940ccec2e0c8cde1 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.