Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18993EC72A27B1826511FB2D4A2A08B192683DB89C3434BF6A27D52F67FCD8757D1318C |
|
CONTENT
ssdeep
|
1536:7mJ6aHDu4D2LNDTiDBC66eee3kDI7tReXefDxDH64FKDxS+Cj+S2Y1HBvxNb0t/S:oV2LpTMr+I2S1jEFS2Y1HBvxNbwg5Gg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936cc93893d3c6cc |
|
VISUAL
aHash
|
08007e6e46466e6e |
|
VISUAL
dHash
|
daabe4c88888d8d8 |
|
VISUAL
wHash
|
78007e7e46466e6e |
|
VISUAL
colorHash
|
03000030000 |
|
VISUAL
cropResistant
|
daabe4c88888d8d8,0b106d2585c6e6a6,d0449a1c49830f0b,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)