Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEC2A671A150673B02A7C2DDB3A1B72E62D3424ECA8A191243FDC76D4FD7E40BE2715A |
|
CONTENT
ssdeep
|
768:le4x/THmdk8Ej5v0iaZ7sOy2+y9BH4crIe:N/8Eh037sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3069433bd3cb4a5 |
|
VISUAL
aHash
|
003000000000ffff |
|
VISUAL
dHash
|
dcc8e4c8c8c8c800 |
|
VISUAL
wHash
|
067c34206064ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
0c00980258988000,dcc8c8e4c8c8c8c8 |
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.