Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA234B726332B87883DB91DEF7382A46B2D2949DE8C74554F5C99ACD23C3C906193BB4 |
|
CONTENT
ssdeep
|
768:am+EsZx8/G8Pr34TDat0MmBOtHMmBG7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDv:am+EsZ/8PsTDat0MmBOtHMmBG7UXx+yI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb4bd0b46791b525 |
|
VISUAL
aHash
|
f9d999f9b1ffffff |
|
VISUAL
dHash
|
c331333b63440100 |
|
VISUAL
wHash
|
f800000031ffffff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
c331333b63440100,670743747f2717ce |
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)