Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183E2BE32B581037F06D759DC7EF5E6A225B28344CDCA05CCA7A712EC07DBCAEA547289 |
|
CONTENT
ssdeep
|
384:TzhSVM7JlzeNdNaNnNGNMN7NMNtNfNfHWHpnekSogkQITutuWYg2kc2up026xlb1:TziM7Jlz0HPJbL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2cf2430c938cf9b |
|
VISUAL
aHash
|
c3c7ffffefc7c7e3 |
|
VISUAL
dHash
|
948e4c35198d9dce |
|
VISUAL
wHash
|
c60227ffcfc1c443 |
|
VISUAL
colorHash
|
07201000408 |
|
VISUAL
cropResistant
|
948e4c35198d9dce,5b5bdb9d1ccbe7b6 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.