Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BB57B13D362250AAA3B58C4F057ABAB3545064EA6064BF07AEDC779BCCF4B23530BD5 |
|
CONTENT
ssdeep
|
6144:6STSZvWDcRfyH3+ciuWiIYFqCZVOUEA70+kUgdBlT38PEfPE7cMq:6STSZ5iIY2T38PEfPE7zq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99306793998bd939 |
|
VISUAL
aHash
|
cbc3dbdbdbdaffff |
|
VISUAL
dHash
|
9a96b2b2b2b22a2a |
|
VISUAL
wHash
|
8b001bdb189aff3c |
|
VISUAL
colorHash
|
06200018000 |
|
VISUAL
cropResistant
|
233186b6be656961,ccaaaaaaaa8a1fcc,9a96b2b2b2b22a2a |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.