Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0A37A33411935274437C6D530A55B3BE2E69A4FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:R1nAyLz4NP/y9svbliCdA5q6AFFtiuCa28y2O9:DmAx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f838cc2cb443 |
|
VISUAL
aHash
|
00640000000000ff |
|
VISUAL
dHash
|
0cc8c8c0cccd0fb6 |
|
VISUAL
wHash
|
c0eee0783c0703ff |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
008081303000a000,04c8c8c8c0cc2d0f |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.