Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2E108F69220875E9092C1ACFF63F090924DD09FE665DAD0E7AE83B414D3CD8F563950 |
|
CONTENT
ssdeep
|
192:aYObmo6H23s3Ad7DmxO3GjywAcQSyUZxBcFL/W:ObMWX9UOW2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e8607059593bf6a6 |
|
VISUAL
aHash
|
0000ffffffffbfdf |
|
VISUAL
dHash
|
838786b2f2475735 |
|
VISUAL
wHash
|
0000e7ffffff8100 |
|
VISUAL
colorHash
|
0e180008000 |
|
VISUAL
cropResistant
|
868632f2cc577735,6083939393008084,23220415a5a73a5a,656565262a2a6766,a4eced4bab2b1317,9919516167676414,73535b4b4b5b5ae0,6969751515554f4c,66624b4b5a5a1995,a52565693c14ca8b,164eced696918989 |
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)