Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8031220B42B6D5B0567D0C0D8913F0EB19AF30FC21569461BBD93DA9FDFC787A8A4A4 |
|
CONTENT
ssdeep
|
768:8r89FP0AM9KMlVsX8Ev43vDv2E0Xa6AbdnNLPWnp:QqFP0AM91lVssEv43vDv2E0Xa6AbdnN4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8976a177a3b1228 |
|
VISUAL
aHash
|
00ffffffff3e01c1 |
|
VISUAL
dHash
|
4916100002d02b23 |
|
VISUAL
wHash
|
00fffffefe000081 |
|
VISUAL
colorHash
|
06030000400 |
|
VISUAL
cropResistant
|
4916100002d02b23,00008000000649c9,0000000000000001 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.