Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A5472B0E164A93B60A7D0D9A1B18B5F72D0C74ACB67074493F9D37A6AC7CF2DE10189 |
|
CONTENT
ssdeep
|
6144:8KAleJN3zf2GyNAKM2UTWSAV859I1sVuSVyGe1chbZ:8KAleJN3zf2GyNvM2sTAV859I1sVuaxf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fbe22ec03f1ee0a0 |
|
VISUAL
aHash
|
e1e1e180e0e00080 |
|
VISUAL
dHash
|
0381032898802020 |
|
VISUAL
wHash
|
e7f1ffbce0e08080 |
|
VISUAL
colorHash
|
38006000000 |
|
VISUAL
cropResistant
|
0381032898802020 |
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 156 techniques to evade detection by security scanners and make reverse engineering more difficult.