Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194A384713D136826208F92DF9127120D61C1C7C9DA136AE976F0D3689BFAC95FBB3684 |
|
CONTENT
ssdeep
|
768:3QktsHNCVTocZ3iik3T85//DgYUf7KGmtF:3rtstOTocZ3ih3o5//DQ7VyF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c5be533849a74d3 |
|
VISUAL
aHash
|
ff0000000000ffff |
|
VISUAL
dHash
|
365331b1eb3737a6 |
|
VISUAL
wHash
|
ff01081f0100ffff |
|
VISUAL
colorHash
|
06403008000 |
|
VISUAL
cropResistant
|
043220c823230056,2973bbcdd8d5e5b6,150008061626b6b6,5773b131f3ef2737 |
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 79 techniques to evade detection by security scanners and make reverse engineering more difficult.