Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1821311427148AA95C2F349D99510798060C7EB4ECD7087708A791E3B27F3AB537E8B7E |
|
CONTENT
ssdeep
|
768:je3X6l9LitABFD2xqzjD1km9h9S+zS/sg6/sTg/sE78xfz3Om:je3KLiGD2xqzH1km9h9S+zGsgusTksEY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9550ea35d32dd227 |
|
VISUAL
aHash
|
cccc0e0e060603ff |
|
VISUAL
dHash
|
989cb83a983a6f0d |
|
VISUAL
wHash
|
eccc4e0e0e0e03ff |
|
VISUAL
colorHash
|
07606000000 |
|
VISUAL
cropResistant
|
be89e9f961276567,989cb83a983a6f0d,cc8e8e1e8ea6ae27,06233212d3d3d3f2 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)