Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C98133FD42804D32C243AD8B2CDAA68F37878A36CA007C85F63446DB46D9EA503157C7 |
|
CONTENT
ssdeep
|
96:vQZsu9Q5KYoOYv/EyagvYFTyZrdh5dcRxPLS:vQZs4Q5ho/XrQFy8y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b30ece269919b1 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
080c5c0c4cb08900 |
|
VISUAL
wHash
|
ffe7ffff24000000 |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
080c5c0c4cb08900 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.