Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111321C679B60B12503D34AABFF61A384B779C078BB5216D121ACD2191BC3CC5CBB5EE4 |
|
CONTENT
ssdeep
|
192:1nNoJGJuM2/b4zw5xzk+yqT/QdBu3hk9ojZAQOUwkL:pNUGJuLbmw5dk+Qd9QC8j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b366cc999989cd31 |
|
VISUAL
aHash
|
ffe7e7e7c7c7c7c7 |
|
VISUAL
dHash
|
0c4d4d0c1c1c1c0e |
|
VISUAL
wHash
|
b9e3e7c3c0c0c0c0 |
|
VISUAL
colorHash
|
074c0000000 |
|
VISUAL
cropResistant
|
0c4d4d0c1c1c1c0e |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.