Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFA29632A0542A3F625783CD7352F72DA1A7A29CDB490C0653FD4B9E8BD2EA0DC1745B |
|
CONTENT
ssdeep
|
384:TAy5N/2yuLN9ONc0J2XlTHPxHz+h9Nv4SyLF4Enidn6MIYsOy2+y9BH4cUUIe:TAy5N/2y+7TH5Hz+hDDyiEnidn7sOy2t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c667dd32b24d6582 |
|
VISUAL
aHash
|
000030000400ffff |
|
VISUAL
dHash
|
1c4343c3cd233000 |
|
VISUAL
wHash
|
00f9f1010f00ffff |
|
VISUAL
colorHash
|
39000400002 |
|
VISUAL
cropResistant
|
0000000c4c000000,0080900270b08000,1c434343cded0770 |
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.