Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDB274716440B433967B4CE2B13A8B0BB2F6D64DEA1B6C9473F8838D57E2D88CB13654 |
|
CONTENT
ssdeep
|
384:H+um4YIQsWsyi9KxsijsTMsyriHXDQfYX5u1kGXkOXJYrfr2rPr9rg9328b9eRBr:Hlm4YIQsWsyi9KKiIT1yrvCgYDyLBkR6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3bc5c996926cc1 |
|
VISUAL
aHash
|
c381818581c3ffff |
|
VISUAL
dHash
|
3b3b2f0d3b230027 |
|
VISUAL
wHash
|
c381818581c1ffff |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
3b3b2f0d3b230027,8210c13919083a6a,125a6cfabef91e8e,b8889ece8e9a5894 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)