Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199235A72A332B87843DB92DEE7382956B2D2589DF9C74550F1C95ACD23C3C802297BB4 |
|
CONTENT
ssdeep
|
768:as+EsZx8/G8XCQ/DVSjMDBZoSLMDBZk3Ucix+y9dQpUDF1E56ITmHTCd3m6DPqD5:as+EsZ/8XhDVSjMDBuSLMDBm3UXx+y9P |
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)