Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC626F71B040A43B41C382D2AB31A74FB3E2838ADA574F0167F9C34D6BDBE8ACE01641 |
|
CONTENT
ssdeep
|
192:xW3bidWC44DOMoNvn4AjYsuBvegq6Ws+iu9FbTq9qcstY0:xWLiR44ifjYsN6WpfWl0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f753074b18655b6 |
|
VISUAL
aHash
|
02003c3c38383f0f |
|
VISUAL
dHash
|
d42b69686060699d |
|
VISUAL
wHash
|
06013c3ebe3c3f0f |
|
VISUAL
colorHash
|
30002040280 |
|
VISUAL
cropResistant
|
a2847b030fd00082,d42b69686060699d |
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 363 techniques to evade detection by security scanners and make reverse engineering more difficult.