Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177B20833E2446A33522741E9B252769AE3D6F10EDFA74C50FAED83D963C2CD95632085 |
|
CONTENT
ssdeep
|
384:FiW+H18uTS5W5b5oapZy/J0Ff+cLZGni3wt1aSoUaSD9uHeUV5Duu1w8pIzdofCa:FiW+H18uTS5W5b5oapU/J0Ff+cLZPAtI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad6d5392121879f3 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
f7e3e3271e270b0b |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0e000002e00 |
|
VISUAL
cropResistant
|
e7e327273e230b03,ce696194a4a4ae6f,dce7e7e3e3e72727 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.