Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19652FD3180459A3311A3D2D19BA2EB1F73E482C5DB235A2987F8839D4FDFE98EC64315 |
|
CONTENT
ssdeep
|
384:PjzF9NLXDhes2fbCZl6OmGgvJFcA2AdsAV1DX47i:N9JDsm36OmGgvDcA2AdsAY7i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cb3663366336633 |
|
VISUAL
aHash
|
0018181818181818 |
|
VISUAL
dHash
|
12b2b2b2b2b2b2b2 |
|
VISUAL
wHash
|
ffffdb1818181818 |
|
VISUAL
colorHash
|
00000000380 |
|
VISUAL
cropResistant
|
d1b3b2e686c3c630,12b2b2b2b2b2b2b2 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.