Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185D274316110273F11A783C9B761F35EE6E3924ADB89091563FC835D4BE7E50EE2352A |
|
CONTENT
ssdeep
|
768:feFy5N0zvZydMTjuyracS1LAjgw3RpDRzH8dMjyty7eag9hbuiXRf+hyTXhPI/zB:KrZydMTjuyracS1LAjgw3RpDRzH8dMjd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f132b32dc5c5 |
|
VISUAL
aHash
|
002030000000ffff |
|
VISUAL
dHash
|
dcc1c3c3cdac8300 |
|
VISUAL
wHash
|
00fdf9300400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,dcc9c3c3c3cdac14 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.