Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E824234D5546927021318C6ADF28B2E21DFD259CA5298D4F7BC82D36BCAEA0465BF07 |
|
CONTENT
ssdeep
|
192:Z1xOeMoJIJjUP7JlBhH7JH7TH7hH7mnH7EHsbeDTrcXA9cWBxPLs+ZV44K3M7Lr:0jmIJjUP7JsXbf4cWBxPLLZ+4K3wLr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2e63c399b66c6c1 |
|
VISUAL
aHash
|
000476746c18003c |
|
VISUAL
dHash
|
d0e4c4ccd8e86169 |
|
VISUAL
wHash
|
60347e7e7e7c003c |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
d0e4c4ccd8e86169 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.