Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B43C7377108A92B4B5386E830F9B758FA63D68DCAD78C89D3A9430777D5CB9C40849B |
|
CONTENT
ssdeep
|
384:LFwssoFasYDFGyMcrRkVSZvRJHR70KaJS0dom0jHlHokNidngs5MrgfOMDxg9amN:7r3yMKkAv/RJaSjHljLqyMQLcEBAbFXC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc73ff0e698328c0 |
|
VISUAL
aHash
|
0083830f1b13ffff |
|
VISUAL
dHash
|
773e1edff7e77733 |
|
VISUAL
wHash
|
0082030f1b1fffdf |
|
VISUAL
colorHash
|
16488000000 |
|
VISUAL
cropResistant
|
180680f0f0e0fcf6,3e1e9ff7f7e77733,078391c0c0e07038,35323e9eddf7e777,0000000200000000,654d3d39313919dc,57c7979697d95515 |
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 86 techniques to evade detection by security scanners and make reverse engineering more difficult.