Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFD32221C6A41333D205078AE3EB7756239AC1C7CD92B8F8E1648175DBBED891C77DA2 |
|
CONTENT
ssdeep
|
3072:cdKJrjylK2E6IOZuagKI3ImJS2QMIYLQICeIkPksuGIyIhuBn1ryO:8KNQ5Ixf3NVyO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e816a7b0c88f7731 |
|
VISUAL
aHash
|
ff00008040cefffb |
|
VISUAL
dHash
|
2e317131919c3213 |
|
VISUAL
wHash
|
ff00808040cffffb |
|
VISUAL
colorHash
|
0e401008040 |
|
VISUAL
cropResistant
|
d02a2f23c06a91b1,a636723869f4f251,7131b1909c021333,00020cdcdcdc0304,b1317131b1b1949d,e0fbf7f37ccff9fe,1f0d0d0c8f232264 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)