Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7C2D73290002A3F0297C3C9B361B72EE2E3928DDA46091553FD935D5FE3E90DE5795A |
|
CONTENT
ssdeep
|
768:NSCy5NaFkJOobnwEL/Pis/5287sOy2+y9BH4cLIe:VkJSIx/L7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc389c61c7cc |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c49cac0c8c8c500 |
|
VISUAL
wHash
|
80af7020242cffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080802058d08000,0c49cac8c0c8d8c5 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.