Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFC2A671A1502B3F12A3C3CDB761B71E92E3924EDA4A081A53FD876E1BE7E40DD13526 |
|
CONTENT
ssdeep
|
768:ySXy5NjlmGtnUU1Nvhu3Coyk27sOy2+y9BH4cLIe:2mGtnUU1S3Con27sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd12d0698583 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1449cbe3cc4cb200 |
|
VISUAL
wHash
|
80e561300e06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
508080106c888000,1409cbc3e3cccc36 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)