Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3E1E7FB5210875E5592C0A8FF62F4D0924ED09FE2A6DAD0E7AE83B414E3CD4F557850 |
|
CONTENT
ssdeep
|
192:anuS2ctStUU3SP9muO1FjywAcQSyUZxBcFL/W:odT3tOz2NjaNcFK |
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
|
868632f2cc577735,60839393930080a4,23220415a5a73a58,656565262a2a6766,a4eced4bab2b1317,9919516167676404,73535b4b4b5b5ae4,6969751515554f4c,66626b4b5a5a1995,a52565693414ca8b,564eced6b6918989 |
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)