Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C4386F781082A7F16A373D8DB01FB4DB16E8089CF114CE4A5EFC2991BC2F61857964A |
|
CONTENT
ssdeep
|
1536:S3GyV3nBdwnKu8DW4EbpGIh5HLlWwYFM/lcbFeRN:fzLKe3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e112adcae3ba9361 |
|
VISUAL
aHash
|
ff00000000ffffc3 |
|
VISUAL
dHash
|
19c6c8ccc0c8060f |
|
VISUAL
wHash
|
ff00000420ffffeb |
|
VISUAL
colorHash
|
32201600000 |
|
VISUAL
cropResistant
|
80596d5902000000,4d695296a4ed2d12,1608070717070f0b,38c4c8ccccc0cc48,2e2e8eaaaa9e989c |
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 260 techniques to evade detection by security scanners and make reverse engineering more difficult.