Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2E2D6319009A93F06A766D1E7B5B36A23C9838ED943076742FECB4C1BDBC90ED164D9 |
|
CONTENT
ssdeep
|
768:0II9HuBTIIIIIoeLh/xcl3sy2wisqRWCnFsyn:0II9cIIIIIoelxcl3sbCqWCnWo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c1c29e3c6 |
|
VISUAL
aHash
|
00e1e7eb7f3c1818 |
|
VISUAL
dHash
|
87cfcbdbe5e9f070 |
|
VISUAL
wHash
|
00e1e7ef7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d888c8c,0000716969040000,87cfcbdbe5e9f070 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)