Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1328235357081653B46C341E1A6297B1EE2DAC38DCB7796C6E3F8C3991FC6CA5CC96224 |
|
CONTENT
ssdeep
|
192:59ev+v63hnysAnT2cutScRTjwj/xhso4sKrfNDdNKu45UmPz/3Y:5QWv6RyvnExGAHPI5UGzvY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c24f3956b24dc167 |
|
VISUAL
aHash
|
0000707c7c7c06ff |
|
VISUAL
dHash
|
9929c4ececece49a |
|
VISUAL
wHash
|
0000747e7e7e06ff |
|
VISUAL
colorHash
|
12006000000 |
|
VISUAL
cropResistant
|
a0514f3c1b25585a,ccf0f0f060629a79,18641a9a9a9a9a9a,9939c5e4ecece8c4,010004092d2dad4c |
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 379 techniques to evade detection by security scanners and make reverse engineering more difficult.