Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D60331BFB0196C7F0097A5C586A4A23D73C24E5CEA46C7E852BDC7547EF9C609E1280B |
|
CONTENT
ssdeep
|
384:3KjvlIIJzqfIIIII9PlBF1UaUyW7K/9slOG89aURBpW:6jvlIIh2IIIII1UajWW/9UOj93u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86e3711c1c39e7c6 |
|
VISUAL
aHash
|
00e3f7ff7f381818 |
|
VISUAL
dHash
|
97cfcbf3e5e1f0f0 |
|
VISUAL
wHash
|
00e3f3ff7f381810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9c888c0c,0010686171680000,97cfcbf3e5e1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)