Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138637422621D193FA02341D5F3D5333420AB83DFD58A983CD57D02B59796DCAFE2BA58 |
|
CONTENT
ssdeep
|
768:rVFA6eFaMPsIHz3zmzo8nIVg1zSReACniDCAJ8xIBXek:Q6eDjxVg1zSReA4uek |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce94b3373624c633 |
|
VISUAL
aHash
|
7eff9810203c0000 |
|
VISUAL
dHash
|
d43830a249617169 |
|
VISUAL
wHash
|
7ffff818203c181c |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
00926c0b13760180,d43830a249617169 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.