Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122335D726731B8A887DF52EEE7382E49B2C6859DF8C74550F5C9568D23C7C902283BB4 |
|
CONTENT
ssdeep
|
1536:az+EsZ/81ADVRsMjBNRRMjBSDrpRXPZlQaQD9OehM+BrUgq4z:a8FRnR3DrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb39c66e956ac015 |
|
VISUAL
aHash
|
81818b8b8f8181ff |
|
VISUAL
dHash
|
255b1b5b5b594935 |
|
VISUAL
wHash
|
858b8b8b8f8181ff |
|
VISUAL
colorHash
|
33c00600000 |
|
VISUAL
cropResistant
|
255b1b5b5b594935,fef9e9e1a0a6e4e9,7430383c3cbc9cad,249a9a9bdb5a4a1a |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.