Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5B19361C1240D23A2A746C4FB977BAB32518645E3520F1426F4C37AFFEDCAB8A563C5 |
|
CONTENT
ssdeep
|
96:TwxIbwdcq8uZmiXNb/YW7R/gvRN7WA3VaHaoBQ63x7zFSe:oIbwdh8uZDYW7RIpN7WiSBF3x7zAe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e465703174a5daad |
|
VISUAL
aHash
|
c3c03830f3fffffe |
|
VISUAL
dHash
|
9696614706080c15 |
|
VISUAL
wHash
|
c2c01020e0fffffc |
|
VISUAL
colorHash
|
070010000c0 |
|
VISUAL
cropResistant
|
9696614706080c15,71714dd5d1616979 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)