Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7725FBE011606FE604347D861605A98E2E5B344FE77B989E3EE039A1DC7CA37F58910 |
|
CONTENT
ssdeep
|
96:cgC/+HKwiw0UjqB0sslC2H2gifdhgNDUuDpttmaEWHgW07COInFFz4f78Vzg4nPE:v7XyaYd5UUuPfJ1x8zbQl3Ucw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6cce6c3c929a31 |
|
VISUAL
aHash
|
d3f3ffc3c3ffffc3 |
|
VISUAL
dHash
|
2606181e16000e26 |
|
VISUAL
wHash
|
d3c3c3c381cbc3c3 |
|
VISUAL
colorHash
|
07400000007 |
|
VISUAL
cropResistant
|
2606181e16000e26,0000083232100000 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)