Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE235A726332B8B843DB92DEF7382E46B2C25899F9C74554B5C55ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aJ+EsZx8/G8Fy4xDawfMLBbwbMLBdwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:aJ+EsZ/8FFxDawfMLBbwbMLBdwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ae9c91e1e4c4b693 |
|
VISUAL
aHash
|
bf999d9181818181 |
|
VISUAL
dHash
|
33717171710f4b63 |
|
VISUAL
wHash
|
ff99bdb991818181 |
|
VISUAL
colorHash
|
3a600030000 |
|
VISUAL
cropResistant
|
33717171710f4b63,3333aa8e8e8e96d4,f2e1cd949c3eeb8f,72b070f0e00aaaa1 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)