Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13293FE76A27B1822511FB2D4A2A48B193283DB89C7438BF6627D52F63FCD8757D1318C |
|
CONTENT
ssdeep
|
1536:MSnQG5HDmOHxDohdDTiDiC6oeeelkDI7tRE3fDxDT60DeDz/FPCgBkW3jdjat5hy:7m81oh5TMu+I871XAdkW3jdjat5hJQqa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936cc93893d3c6cc |
|
VISUAL
aHash
|
08007e6e44466e6c |
|
VISUAL
dHash
|
c8a3e4c8888cd8d8 |
|
VISUAL
wHash
|
38107e7e46466e6e |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
c8a3e4c8888cd8d8,2448b67895971db3,97c46931f1e1a0ac,4b43719898d08c4d |
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)