Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141C274759140263B02E7D3C9B361B71EE2D3824AD789081A53FD83AE4BFBE50ED53526 |
|
CONTENT
ssdeep
|
768:ISXy5Nbqne6f6U1u5IAC1Co88XZ7sOy2+y9BH4crIe:Xne6f6U19CoxZ7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd12d06d8582 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49cbc3cc6cb600 |
|
VISUAL
wHash
|
80ed61300c06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,1409cbc3c3cccc36 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.