Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C8319A43A59F5625AB3439310AF1503B339552B540E4D20A350ECAEB6BCC9FA077FDA |
|
CONTENT
ssdeep
|
1536:Ax3XFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:6XjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccec333399cc46cc |
|
VISUAL
aHash
|
00c3fbdbd9000000 |
|
VISUAL
dHash
|
800e333333021000 |
|
VISUAL
wHash
|
00e7fffffbc10000 |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
800e333333021000 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.