Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1703112F2B580463747C353C1F790B69DE260429AA8019A12696CD757CFCCB4AC9B3B9E |
|
CONTENT
ssdeep
|
24:1MoCH4sCvM+k42ozaEF++fDfK20348Du++RcOPO++bfmLPMFpPrD:1MvQki++fDC203Lu++GOm++7mLEvP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f65e0da18b9a3187 |
|
VISUAL
aHash
|
00000000ffe7ffff |
|
VISUAL
dHash
|
b32028198f8f8e50 |
|
VISUAL
wHash
|
00000080ffefffff |
|
VISUAL
colorHash
|
070000000c3 |
|
VISUAL
cropResistant
|
0080a0a0a0800000,598f8e9e0fae0600,3233a424680c1c09,6527dcdc9494d4dc,000008343232306a |
Fake Bank of America site positioned to capture victims through SEO tactics, typosquatting, or paid advertising. Serves as entry point for multi-stage attacks including credential theft and malware distribution.
Uses typical phishing tactics including brand impersonation, urgency tactics, and social engineering to trick victims into providing sensitive information.