Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE52EF37610887FE7601DD437DC276AD98EA514FA9A016A6D3BA077F78C0FF6C160A42 |
|
CONTENT
ssdeep
|
384:QB9bSxxZOml8fsnV9bSxxZOmlCV9bSxxZOmlCV9bSxxZOmlCV9bSxxZOmlCV9bSM:QB9bSxxZOmDV9bSxxZOmgV9bSxxZOmgZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc667373333322 |
|
VISUAL
aHash
|
9818181818181818 |
|
VISUAL
dHash
|
3232b23232323232 |
|
VISUAL
wHash
|
dcdcd8d838381818 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
3232b23232323232 |
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 170 techniques to evade detection by security scanners and make reverse engineering more difficult.