Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA234A726332B87843DB92EEE7382D46B2D6589DF8C74414F5C95A8D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aq+EsZx8/G844HDawiMLBdwJIMLBzwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:aq+EsZ/8rHDawiMLBdw2MLBzwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee66959dc0d29895 |
|
VISUAL
aHash
|
ff8181a1a181ffff |
|
VISUAL
dHash
|
6d4f6d4d47716900 |
|
VISUAL
wHash
|
ff8181818181bdff |
|
VISUAL
colorHash
|
07038008000 |
|
VISUAL
cropResistant
|
6d4f6d4d47716900,ce8c6c6cbebeb260,40c2d29bafc6d2c0,ecf1f1517d4c8826,fffff7f5d6fcdfdf |
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)