Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9C243319A80163707A343EEE72E975BA1A9E340C603670762F9834D8BCBD49D9E7717 |
|
CONTENT
ssdeep
|
768:6btaXCBFN0gF8DQII9ElJOcfUzM1hPg+QN89c:lyFN0gF7II9ErZvQ8u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2469f17c2429d3f |
|
VISUAL
aHash
|
ff0000f1210000ff |
|
VISUAL
dHash
|
ccc8378dc978c928 |
|
VISUAL
wHash
|
ff00c1f7af0000ff |
|
VISUAL
colorHash
|
17002038000 |
|
VISUAL
cropResistant
|
0000cc32cccccccc,820202c2c2020282,0000000000000000,cc02338dc97cc0a9 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.