Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DD131E0D404ED3B435385D9A7F56B4BB6A1C345CF02098497F883AB5BCACA0CB22999 |
|
CONTENT
ssdeep
|
96:TkCF6C4zHcQWSTNtL9VE8weYnFmpKXgHFNqXQHF5XbjX6XeX/k5R:Qoj4zHcORR9bwer7PfNXC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333e0e878390fc6 |
|
VISUAL
aHash
|
8f0f0f07ffffffff |
|
VISUAL
dHash
|
9adc5c5980000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
9adc5c5980000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.