Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114B176706086EE3B45E3C7D29675D76F76D2C24ACA87225212FDC39C4ECADD0CE1A086 |
|
CONTENT
ssdeep
|
96:nOiHl9n0LtD1J7IVFq0zA7GfWVb9HKBYpUr9IeI:Dl9n0LtD1JUVFqaQGuh9HKBlFI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f6caa32ab3a3a2a |
|
VISUAL
aHash
|
01383038383c3c3f |
|
VISUAL
dHash
|
036061606060696b |
|
VISUAL
wHash
|
e33838383c3c3c3f |
|
VISUAL
colorHash
|
38000000038 |
|
VISUAL
cropResistant
|
036061606060696b |
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 244 techniques to evade detection by security scanners and make reverse engineering more difficult.