Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DC29672A164273B03A3C2D977A1B72E62D3424DC78A191643FD83AD4BD7E50EE3315A |
|
CONTENT
ssdeep
|
384:Ye4frrjHbTR+5xy6xIwEMAycTuI+aN0fIYsOy2+y9BH4ciUIe:Ye4fzeFIiA1Tn+aY7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3039579bc3cb4a1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccc9c8ccc8c8c800 |
|
VISUAL
wHash
|
027c3c306060ffff |
|
VISUAL
colorHash
|
31048000e00 |
|
VISUAL
cropResistant
|
0880880458988000,dcc9c8ecc8c8c8c8 |
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.