Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9F1F4E1C048DC3B135385E5B7B5675FB696C345CF020D8853F852AB9BDEC60CA13A9A |
|
CONTENT
ssdeep
|
96:Tkfi7khOlzH0X0eGnV3gyEnwvFbe5XXHFZeNX6z/DV3T8Q6R:Qfi7khOlzH0XsnmyELpu0z7p8QQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3934364bcbcec92 |
|
VISUAL
aHash
|
0000ffffff000000 |
|
VISUAL
dHash
|
26c9e13008a30000 |
|
VISUAL
wHash
|
003cfffffff00000 |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
dcc120303830080c,0404000008c9d4ed,a2a3188200000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)