Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7A3CE234259752A4437C3D1306A5B3BD1A69A9FFEE709010EECCBFA2BF9C90741A51D |
|
CONTENT
ssdeep
|
1536:HWtpR4nXBKpSpFl26vtSZoEWnKhMeTAIKgB:qUMWnQMeTEgB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92136d03d31b7d2d |
|
VISUAL
aHash
|
001f0f3e2e0f01ff |
|
VISUAL
dHash
|
d8bf3cfcdcbcf700 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb75cfcdcbdf700,dcbf3ffcdcdcb777,d14b4393a45bd9c4,6a86c781a7a7a6ac,68000032320c21d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.