Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F234B726722B86843DB92EEF7392C45B2C6588DE8C74444F5C99ACD23C3CC16287BB4 |
|
CONTENT
ssdeep
|
768:aw+EsZx8/G8spDVw0M6BfwKM6BZ3Ucix+y9dQpUDF1E56ITmHTCd3m6DPqDv7A1m:aw+EsZ/8KDVw0M6BfwKM6BZ3UXx+y9d5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb95d594b194c1c5 |
|
VISUAL
aHash
|
bd81818181818181 |
|
VISUAL
dHash
|
7141415145496545 |
|
VISUAL
wHash
|
ff81b18181bdbd81 |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
7141415145496545,32c8c0d0d4c4e4c4 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.