Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAB166706046EE3B45E3C7D19675D76F76D2C24AC987225212FDC39D4ECAD90CE1A086 |
|
CONTENT
ssdeep
|
96:nOiHl9n0LtD1J7IVFq0zA7GfWVb9HKBYpUr9If:Dl9n0LtD1JUVFqaQGuh9HKBlc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfacaa3a3a3a2a2a |
|
VISUAL
aHash
|
81383038383c3c3c |
|
VISUAL
dHash
|
0360616060606868 |
|
VISUAL
wHash
|
c33838383c3c3c3c |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
0360616060606868 |
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.