Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177325720B849156B63B7A7C2A8653F1965F2F30DC79A84A87EADC19C1FC7C21771B0E4 |
|
CONTENT
ssdeep
|
192:Br0DvPZFghnuZ8KdcRX8nL0lS54WnO8hL0lS5qWn8RLbrveTV7yeTX7VeT37MeTa:8Zo01oS809ldqChq31am7xOC6xy9iAs7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb90c16b903b7b94 |
|
VISUAL
aHash
|
ffffffffff0000ff |
|
VISUAL
dHash
|
0c0f330c4d414101 |
|
VISUAL
wHash
|
e7e381c7e70000ff |
|
VISUAL
colorHash
|
0e000010043 |
|
VISUAL
cropResistant
|
0c0f330c4d414101,d0d4d1c9c0c098c9 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.