Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2B17235A4526C77A16BD2F1A7B0D73BB3C08649EB9303914BF4A36D8BC6CE4EC15069 |
|
CONTENT
ssdeep
|
96:c9H09TBn9YLfqtvNphD93rf0AlDgVLutxRB3u:c9U9TF193jp7xX3u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a36633c666999999 |
|
VISUAL
aHash
|
c3c3efc3e7ffffff |
|
VISUAL
dHash
|
8e8e9e8e0c445858 |
|
VISUAL
wHash
|
c3c3cbc303272f0f |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
8e8e9e8e0c445858,6c8c9c50a2ac8486,0000043030040000 |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)