Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A54DE234259792A0437C3E120A95B7AD1AAEE4FFAEB09400FDCC7F726FAC50741B559 |
|
CONTENT
ssdeep
|
1536:IRYey9tMbXlOJi55R+Ovt0uutH8ArXvUd0gAK6Fyc01Rp3w7X5G1uz3faUBT0fxx:QaMwX99k5tGIXj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c25069be9696b6b4 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
8c93ccd8ccec238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
0e0060000c0 |
|
VISUAL
cropResistant
|
c8c8d4cccc230796,8c83d293c8c8d4d4,4565417969214141,80414d7171514d01,912173404b6a6a2b,24a7b00146187860,4bc9e565e5953332 |
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)