Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164428433B600DC6A8D9B45C8F2C09589515DD345FB328DCAB2A491BF7BC5CF029A939D |
|
CONTENT
ssdeep
|
192:lah6d4BVbHxX/McnthWeNWbatddt/2g0f1sSfMmUU8VCoKj:14XtvBt/T0fiSfMmUFCoKj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a727d95877270d0c |
|
VISUAL
aHash
|
00ff37a7c3fffffe |
|
VISUAL
dHash
|
0808444c0e160000 |
|
VISUAL
wHash
|
00e7272703033f3e |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
0808444c0e160000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.