Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136F250716904CD3306D78AD8A5B2AB2E60F68349CA431585F6F8C3FD1BDADA8CE33515 |
|
CONTENT
ssdeep
|
768:zRbq221JQoj6FJnPr8/hsns9VHscjOVHCHEscOP:zRbq22aw5snsrscjOZIEs5P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e59298c69a99c6c7 |
|
VISUAL
aHash
|
c3c3c3c3e3e3c3c3 |
|
VISUAL
dHash
|
8686869626269696 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
8686869626269696,a2a28292ea9288b9,49058121d1d12101 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.