Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135235B726332B87843CB91EEF7382A46B2D2988DE8C74554F5C95ACD23C3C806597BB4 |
|
CONTENT
ssdeep
|
768:a6+EsZx8/G8BEVX4VDat0MmBStMMmBi7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqT:a6+EsZ/8iiVDat0MmBStMMmBi7UXx+yI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa6ac06a853f9585 |
|
VISUAL
aHash
|
81818181818181ff |
|
VISUAL
dHash
|
0d0d595511111141 |
|
VISUAL
wHash
|
ffc181818181cdff |
|
VISUAL
colorHash
|
3a208208000 |
|
VISUAL
cropResistant
|
0d0d595511111141,971d1b3030303030 |
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)