Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F62740BD745072D1F2200A2BE0913BF678D24CCF3A746C27CDAE5383A92695597ED9B |
|
CONTENT
ssdeep
|
384:AcjMmmwTmimmtmammmdJVc4f+VB1ScAcLHG6a03K0W8vrkxNpwETyQRbr:ABbwThVZ52JVcJScAcLm6a0fWAYxryur |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4253cdb3c29cbd8 |
|
VISUAL
aHash
|
030303039fffdfdf |
|
VISUAL
dHash
|
3eb696b636703634 |
|
VISUAL
wHash
|
0303030307bfdfdf |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
3eb696b636703634,7a9292c9cd929259,be82bad9889c99bc,c29ca7e3e4e0dca4 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)