Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127225033B600DD2A4DAB95C8F6C09589015EC345EB3148CAA2B491FF7BC4DF069A979E |
|
CONTENT
ssdeep
|
192:xP5tWdXqgO0axXuQcMcnthWeNWbzgmfMmUU8VCox3vPQ1X:EXqgS5vgmfMmUFCoC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4269b9964c6ce39 |
|
VISUAL
aHash
|
fffff3c3c3ffffff |
|
VISUAL
dHash
|
0400260696061000 |
|
VISUAL
wHash
|
fcfcc0c0c0c0cdcc |
|
VISUAL
colorHash
|
070000001d0 |
|
VISUAL
cropResistant
|
0400260696061000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.