Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121E35531C6950337D215478AE39B375A629BD2C7CD927CE8F2A08135CBBED482C76DA1 |
|
CONTENT
ssdeep
|
3072:XlSqKJKrjylK2E6IOZuagKI3ImJS2QMIYLQICeIkPksuGIyIhuBn1qZm:1NKJIQ5Ixf3NAs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e816a7b0c88f7731 |
|
VISUAL
aHash
|
ff00008040cefffb |
|
VISUAL
dHash
|
2eb17331919c3293 |
|
VISUAL
wHash
|
ff00808040cffffb |
|
VISUAL
colorHash
|
0e401008040 |
|
VISUAL
cropResistant
|
90226f2b906a91b1,a636723869f4f251,7131b1909c0213b3,04828c8c8c949200,b1717131b1b1949d,f0fbf7f37ccff9fe,9f8d0d8c8f232264 |
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 147 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)