Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D90362B064529A7B03C392E6A37A6B0E73D5C245C5630356B3FCC78E6FD6D80DE6A061 |
|
CONTENT
ssdeep
|
768:/VGBJ644uAXPHf/w8p0qsGV8pD4qoJEkri6Sl2gyt2EZfF:K6449XPHf/w8p0qsGV8pMqoJEkritl29 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc32611d9ed32ee1 |
|
VISUAL
aHash
|
0c083c3e38387878 |
|
VISUAL
dHash
|
dcd8e0707370f2e3 |
|
VISUAL
wHash
|
0c0c7e3f3c3c7878 |
|
VISUAL
colorHash
|
02208010000 |
|
VISUAL
cropResistant
|
7079f474747444e0,db9b9b6ad5d5aaaa,dcd8e0707370f2e3 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.