Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A7254A12086782B0363C7C496B3573F92968396F927770932E7CB9E3BD2D6DDCA1105 |
|
CONTENT
ssdeep
|
192:TM38X+HVfGniAoq6Bgu5U5sEGy5uy5h/uonBZd/mk1dHGP2430T/XQZr:TM1foiAmDt7yGwInETS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c8db1b13de46c39 |
|
VISUAL
aHash
|
667e1818185c7c00 |
|
VISUAL
dHash
|
8ee432a073a8d4d4 |
|
VISUAL
wHash
|
467e38183c747e74 |
|
VISUAL
colorHash
|
38201038000 |
|
VISUAL
cropResistant
|
abd42b2b27d55bdd,8ee432a073a8d4d4 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.