Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106E2127490149A17029362F4272F33061EAF6459A763CA2CBBF9C31D1BEAD15CD3E978 |
|
CONTENT
ssdeep
|
768:GuiFrNsF38dFHwiC444Lq29ia4agoPJDCs+w:GuiFrNsF38dFHwiC444P9WagoPJes/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c03f3fc470312f2b |
|
VISUAL
aHash
|
000000fefffffe00 |
|
VISUAL
dHash
|
69f07396a6a682b4 |
|
VISUAL
wHash
|
000000ffffffff00 |
|
VISUAL
colorHash
|
00606000000 |
|
VISUAL
cropResistant
|
ccccdcccc4d4d4cc,a9aa6a6a8aaa9235,622aaec7adcdb5b4,82b2a60b2aa29282,69f07396a6a682b4 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.