Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF32FD72B484667704D7D3F1AB31372A33D5C285C5930B0426FE83995EDBF1ADE226A0 |
|
CONTENT
ssdeep
|
192:XWveYJ+GCE/oVgpRDlRQ2wheqn3gcmuKW:XUJNV/UgzQdhnQTuKW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb45ecc9044d69c7 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
c1484ab0dd1b332f |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03000000030 |
|
VISUAL
cropResistant
|
82c282e2e2c28282,f6d6969699d19292,ec931bdb6c12a0f0,26269cd5d9ca5252,a63474656c6d39d9,dcd55b1333112b33,e38d0c48ca1a1109,9365b393d3d29491,67c795b5b5f5f4f7 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.