Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DB35361B712B82120BB81CFD12B190C12D0E3C9E65669C4EBF99239F5B6CB1B6D07DD |
|
CONTENT
ssdeep
|
3072:7+YNFxN9zSIabGxQrqsHf9jULcstzZVu19xw:7Zaxw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c74b99b916e4e0a6 |
|
VISUAL
aHash
|
ff00000077ffff00 |
|
VISUAL
dHash
|
32534c6ccc162784 |
|
VISUAL
wHash
|
ff000000f7ffff04 |
|
VISUAL
colorHash
|
13600030000 |
|
VISUAL
cropResistant
|
30372051d0d25252,c14c644c4c172b07,f0b0b4a4a0b3e3f1,3cbc989966eef8f9,529d9d9d9d909090,d25343440c664cec,0000000000000090 |
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 939 techniques to evade detection by security scanners and make reverse engineering more difficult.