Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128C241B192806A3701D7C3C0A670EBAE72D5C349C9131606A7F9C39A0FF7D95EC4B65A |
|
CONTENT
ssdeep
|
384:yvFuU32eicKIkFXXtohgSF0MsHHH82ZMcp6bAzbAcw:gtRicSnt6PsHNZMDM1w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c627b9c8e6b808e7 |
|
VISUAL
aHash
|
ff0000002010ffff |
|
VISUAL
dHash
|
31cccccccce02035 |
|
VISUAL
wHash
|
ff200000705cffff |
|
VISUAL
colorHash
|
03007000000 |
|
VISUAL
cropResistant
|
8160616100252dd1,cccccccce0b10039,e8d4aa7961aac4f0,4accccccccccccb1,8f3369d4d469330f |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.