Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114335C726731B4A882DB92EEE7382D59B2C6549DFCCB4540F5C9968D23C7CD02287BB4 |
|
CONTENT
ssdeep
|
1536:al+EsZ/8UDDVR9MjBVRlMjB6DrpRXPZlQaQD9OehM+BrUgq4z:aazRAR5DrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b31fcec1c0c476f0 |
|
VISUAL
aHash
|
1e0f07074f0fffff |
|
VISUAL
dHash
|
7c792c3e9edede00 |
|
VISUAL
wHash
|
0e0f06030607ffff |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
7c792c3e9edede00,554d3588c8354d45 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.