Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA737476014A6B3F208342D2831CE399D3C2D609D7BB5E4AA7E8435B67CADE0DD3B165 |
|
CONTENT
ssdeep
|
1536:l4GdleVDccv094/S8b1yw0E4Glhdhr0ZxVuz8Q6:VLXMndaQ6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e842869e366eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ccd183331433270e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,1455cd5332a7ab99,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,8512382727008606,84cbe9d38b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)