Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172F23660751532A3037385C4F5623F8AB6E3F70FD5DA48906A7C51980FD7CB0BA2A6B6 |
|
CONTENT
ssdeep
|
768:PfO15SgFYN2pf5sNFGsPRI5dQ4sd8TASLdibdR4MdL4+dzgEDDYZ5nBS8s8wYhmC:3O15SgFYN2pf5sNFGsPRI5dQ4sdMASLf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e0fc3e170bab878 |
|
VISUAL
aHash
|
ff10000000ffffff |
|
VISUAL
dHash
|
c1e0f83d0e2b2b29 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
01c1e0e070f8fe7d,29002b2b2b291400,e0e070f8ff3d0e1f |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)