Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F22319F052403A2C6A03C3F4F369F268B156F0FEEB6A9584F3EC121921D69F5D84DA95 |
|
CONTENT
ssdeep
|
768:LGUccNiNeN2NWNbEk0wZRvZC5Ann1uRwtMDExRwtMDX:LGUccUkEEu/Knn1uRwBRwe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8666ad6b2b3aa2e2 |
|
VISUAL
aHash
|
00266604050f1f3f |
|
VISUAL
dHash
|
6bc4c48dddfefefe |
|
VISUAL
wHash
|
002266472d1f3f7f |
|
VISUAL
colorHash
|
16c00600000 |
|
VISUAL
cropResistant
|
4f9c70e9d192a2c5,6bc4c48dddfefefe |
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 170 techniques to evade detection by security scanners and make reverse engineering more difficult.