Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13463667111926A3F248386E5831DD359D3CAD605CB6B89CBE7E8836B36C7DE1EC35128 |
|
CONTENT
ssdeep
|
1536:19n9E/XLgb3PPASdGdw1YV5XmbLggACg6t7vNqkI2ECJT/AUCegbY71EKWQXlOZG:VEREu6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7efff1ef |
|
VISUAL
dHash
|
cc93ccd8cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff91c7 |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc234c4c,8ccbf193c0c8dcd4,4555457969610541,00454d7171554541,e232b21489cec6d6 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)