Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6D25471F180663F41ABC2C9B7216B2EB2D3828DEB96191153FD479E0BE7E11DE13426 |
|
CONTENT
ssdeep
|
384:AFe/GLyh+gURAGycu+xf+U+XlLZYkyrWgV5QBIsr9IYsOy2+y9BH4ciUIe:8e/GLyhMGlfbxx7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43a8949e5e1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9c0cc841cdcd9300 |
|
VISUAL
wHash
|
00c4e0303f05ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c2c4848e1cdcd13 |
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.