Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3235B726332B87843DBA2DEF7382A56B2C6549DE8C74554F1C59ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aM+EsZx8/G8uISDVShMDBVSSMDBr3Ucix+y9dQpUDF1E56ITmHTCd3m6DPqDv7AM:aM+EsZ/8uLDVShMDBVSSMDBr3UXx+y9P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fac4edc192c4e5c1 |
|
VISUAL
aHash
|
ff8181858d818181 |
|
VISUAL
dHash
|
4319470d49494949 |
|
VISUAL
wHash
|
ff8181cded81e381 |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
4319470d49494949,1fdeceaee6ced060,4318868c88aaca09 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)