Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185436C37E6257DBD53CB41EEFB389A46F3C18898D9868114B9CC929E13C6CC1624BF64 |
|
CONTENT
ssdeep
|
1536:ay+EsZ/8WUYrnDVRdMQBpRwMQB6rpRXPZlQaQD9OehM+BrUgq4FJ:anWYrxR7RXrpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb91e56ce49195c4 |
|
VISUAL
aHash
|
818d8d8d81818181 |
|
VISUAL
dHash
|
495d5d5941515149 |
|
VISUAL
wHash
|
ffafaf8d81818181 |
|
VISUAL
colorHash
|
3ac00400000 |
|
VISUAL
cropResistant
|
495d5d5941515149,fef9f1e1f1f3e4e1,343038383cbc9c89,d8d8dad8c199d089 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.