Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAE2B735B1006A3B4287C2C9B351A37EA3A78349D646091592FDC37E1FA7E61CE3395A |
|
CONTENT
ssdeep
|
768:D5S5y5NsjONIYSgo8T8vcgbpKNBEX6rGZ7sOy2+y9BH4crIe:bp6oBYZ7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ec128d6d96cd |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
050d4353c90c3300 |
|
VISUAL
wHash
|
80e5f101040effff |
|
VISUAL
colorHash
|
39600030000 |
|
VISUAL
cropResistant
|
fefeffcfcffffffe,0080800078908000,020d4d634bcddc30 |
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.