Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C235B726732B4A883DB91DEFB383E46B2D2988DF8C74550B5C95A8D13C3C916193BB4 |
|
CONTENT
ssdeep
|
1536:aTRqu+EsZ/8coOvDaw9MxBTwFMxBmw0N2/y9dGXDiJZBlvy40hxwh:aTRq7X+wkwFBN2aDSw0G |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)