Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105226033B600DD2A8D9B568CF6C09989415DC385FB314CCA71A091BF7BD4CF0A9A879D |
|
CONTENT
ssdeep
|
192:+7ZM3JWS0dn+hzYzMxsMcnthWeNWbabVfMmUU8VCo5VWajb/n/:kSon+h0ZbVfMmUFCo7fP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ec1e3e6c8d820 |
|
VISUAL
aHash
|
ef070f97a7ffffff |
|
VISUAL
dHash
|
082c3c2c6c000000 |
|
VISUAL
wHash
|
e404048484fcfdfc |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
082c3c2c6c000000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.