Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2E2B531D015A83F06A7A2D1E7B5B36E62D5438DD903072A42FD874C5BDBC90ED278AA |
|
CONTENT
ssdeep
|
768:CII9ZuBTIIIIIoOLjSETQx6l3eogeiO6RmEGFsyn:CII9mIIIIIoOyETQx6l3eRi6mEGWo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7e3711c1c3963c6 |
|
VISUAL
aHash
|
00e7efff7f181818 |
|
VISUAL
dHash
|
96cdcbb3e5f0f0f0 |
|
VISUAL
wHash
|
00e5ffdf7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d888c8c,0000706168640000,96cdcbb3e5f0f0f0 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)