Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FA29570D0C86F7B41D382C6EBB6976A32E58309D516075647FAC76E4BC6E87EE36008 |
|
CONTENT
ssdeep
|
384:2o0zw+nAkF9qTJBs0co4bc6lubvAPbAFBN/LQv/914MsgbklFCu7:2o+TAMLU/6luTMbAF38LJ8Fd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc496366cd326647 |
|
VISUAL
aHash
|
00efdf9bdb83c7df |
|
VISUAL
dHash
|
6c1d32b2b22e0d30 |
|
VISUAL
wHash
|
0087df9b998387c7 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
aa8c8cb28e86a5a7,6c1d32b2b22e0d30 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.