Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132C2B931B110663B41D792DCB361A32EE3E34349E7560D5A92F983AD0BD7D74DE2322A |
|
CONTENT
ssdeep
|
768:WScy5NQkzKouoTjpmXKC0ga7sOy2+y9BH4crIe:/7dV/ga7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b41a9c29d3e3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1ccccac2c8cdc300 |
|
VISUAL
wHash
|
00f7e2300034ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
c10080026ccc8000,9c8ccec2e0c8cdc1 |
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.