Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A69230B19064A93722E38ACDB6B4A30EB2C2C24ACF570B8E66F5938D1FD6DD1DD51311 |
|
CONTENT
ssdeep
|
384:HJmKoQOIcH5shwvHvVfL3LIz/fyIcIHd1lblxvJC9g:8nIKvPhL3L0/fyhs11PvJC9g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1f9c706dc2047ce |
|
VISUAL
aHash
|
ffefffcfcf0000ff |
|
VISUAL
dHash
|
1a989a18becfdfce |
|
VISUAL
wHash
|
ffefcb8f000000fe |
|
VISUAL
colorHash
|
07000018080 |
|
VISUAL
cropResistant
|
1a989a18becfdfce,05150d31310d1505,18181adcdc191818 |
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 107 techniques to evade detection by security scanners and make reverse engineering more difficult.