Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D93ED72A27B1826511FB2E4A2B08B192283DB89C7434BF6627D52F67FCD8757D1318C |
|
CONTENT
ssdeep
|
1536:Mn/iwHD1lDtkURCDTiDBC66eeeOkDI7tRJsJ8fDxDT64FjDSgtrC2gKQ7ueF2HX1:K3tkURsTMa+IhsJQ13X97Q7ueF0XtPTX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936cc93893d3e64c |
|
VISUAL
aHash
|
00007e6e46466e6e |
|
VISUAL
dHash
|
d8aae4c88888d8d8 |
|
VISUAL
wHash
|
38207e7e46466e6e |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
d8aae4c88888d8d8,d0449a1c49c30f0b,97c56931f1e1a0ac,4b433198d8d08c4d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)