Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6234B72A335B8B843DB92DEF7382956B2D69499F8C74550F5C896CD23C3C806287BB4 |
|
CONTENT
ssdeep
|
768:aM+EsZx8/G8tkBRsgDVSHMDBNS4MDBj3Ucix+y9dQpUDF1E56ITmHTCd3m6DPqD5:aM+EsZ/8t2XDVSHMDBNS4MDBj3UXx+yZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cab4b56b1a0bf087 |
|
VISUAL
aHash
|
fffff918b8f9393d |
|
VISUAL
dHash
|
0986313979196969 |
|
VISUAL
wHash
|
fff9f8081808393d |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
0986313979196969,2f5747575f321b87,43453bd8c465552b |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)