Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F543EB309061A93B01E392D1A635679FB3C2C34ACE530B4A63F8D35D8FDBD89DC16665 |
|
CONTENT
ssdeep
|
384:ZGvsdvhBQ4tY/oYNZTFiLZL45L7JeiLmL4MLKJdiLZL45L7JKyj/b9GIe7eEZTcn:ZPdzWnW29nrA9ATps74Qo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea4a970f939399e0 |
|
VISUAL
aHash
|
7f00c0c0f000ffff |
|
VISUAL
dHash
|
d923918981c1410e |
|
VISUAL
wHash
|
7f00c0c0f040ffff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
d923918981c1410e,868282828282a333,4c1884a78989c0c0,d962929089829381,b3db1fa717030301,ff783f1d575f4b5b |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.