Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159B2F83171219E3A416796E572F9D75323E6E344DA420289D3ED83FD0BEAC60FA33685 |
|
CONTENT
ssdeep
|
384:EwuxDNeSlX9YIo/RLxfqfgJezsW5TvUpOGeSJR3r/MCIPkQ:gxDhMRqTxGeE3r/wv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
969669e93239e949 |
|
VISUAL
aHash
|
063e0e0e06ff0000 |
|
VISUAL
dHash
|
8ccccc8cec32cccc |
|
VISUAL
wHash
|
067e3e0e0eff340c |
|
VISUAL
colorHash
|
0201e000000 |
|
VISUAL
cropResistant
|
7b67c56660f80d65,d0085332240912a0,8cccecccccccecec,e4dcc8c498c8e5cc |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.