Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133F1C85B530822A1068212079E42AFE1C36DD0C5A34019786CED438DE7DAF3E97FF796 |
|
CONTENT
ssdeep
|
192:gMjFwVou49X9gogdGuVRYnu3CzOXs/gbM97sX5N7:tZgoILVVyL+5N7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3999b89296686ce |
|
VISUAL
aHash
|
ffefe7c3c3e7e7e7 |
|
VISUAL
dHash
|
484c4c8e8e0e0e0c |
|
VISUAL
wHash
|
ef81e5c1c1e5c1c1 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
484c4c8e8e0e0e0c |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.