Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136234B72A332B87843DBA2DEF7382E45B2D2588DE8C74554F5C95A8D23C3C906197BB4 |
|
CONTENT
ssdeep
|
768:amh1+EsZx8/G8KlJvBI8Os4Q7DatZMmBHtnMmB1Ucix+y9dQpUDF1E56ITmHDLB+:amh1+EsZ/8l3Q7DatZMmBHtnMmB1UXxK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fae4ed9290e4c591 |
|
VISUAL
aHash
|
fb8181858d818181 |
|
VISUAL
dHash
|
4379470d09694349 |
|
VISUAL
wHash
|
ff8181e78ded8181 |
|
VISUAL
colorHash
|
32000e00000 |
|
VISUAL
cropResistant
|
4379470d09694349,1f5fcfade6c6d060,4358870c8ca85258 |
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)