Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AE2C3309149683F06A763C1B774A36FB2C583C9D9474B2A82FD8B8D4BDBC90ED17994 |
|
CONTENT
ssdeep
|
384:AdGtRJIIBDRBXIIIII96lBHhP9qIbho5Obex0QpZKO8wGDexzOpW:lIIBDIIIIIBqmObex0Qpn1GCF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c1963c696 |
|
VISUAL
aHash
|
00e1e7ef7f3c1818 |
|
VISUAL
dHash
|
87cfcfcbf5e5f0f0 |
|
VISUAL
wHash
|
00e1e7ef7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d888c0c,0000696969000000,87cfcfcbf5e5f0f0 |
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)