Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FED143E0D26998135172C1D4F9A67BAF36518249D3930E1457F8837AFECACA5CE171C8 |
|
CONTENT
ssdeep
|
96:TPosW5PvVaknQqDKyJOiWx19BSg3EHXivOJkRF9Wgvq:DosW5PvVaNyJCH3EGhRDLy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbd33c33742cd528 |
|
VISUAL
aHash
|
383c3c3c3c3c0101 |
|
VISUAL
dHash
|
c9c9e9e9c8c9336b |
|
VISUAL
wHash
|
3c7c7c7c7c3c010b |
|
VISUAL
colorHash
|
320000001c0 |
|
VISUAL
cropResistant
|
939bc4ce8e66939b,ba1ba7abab13ecaa,c9c9e9e9c8c9336b,8413cccc0a5394a4,e1c1095a1a1a1e09 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.