Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16054CD234259392A0437C3D520A95B3BD1EADD4BFAE70A414EDCD7FB26FAC90741B258 |
|
CONTENT
ssdeep
|
1536:r/0e70cvi9tMbXlOJi55R+OvU0CotumH8ArXvUd0gAK6FyP0Q8uFp3w7X5G1uz3v:aMwex9k2DMGImPF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2416d3e96c4b6e9 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
e493ccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc23474c,96ebf193ccc8dcd4,4551657171694541,4145457171454500 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)