Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E37209F13010198E2DA38B9CFB50B81ED28AF61DEF29C9C4A0CF936991D6FE1D553994 |
|
CONTENT
ssdeep
|
192:onh3qyeOUzm6K1X4b4+Q7RivbYy0sERF8r8e8EqPiIPm/9sfUJh5rfFdJcsRc+:y7/cm5Nb+Q7urmX8weZrle8JhPD5c+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83333ce097b6686b |
|
VISUAL
aHash
|
0600606666602600 |
|
VISUAL
dHash
|
9cdcc9ccdcc5cc70 |
|
VISUAL
wHash
|
0606676767677703 |
|
VISUAL
colorHash
|
38401600000 |
|
VISUAL
cropResistant
|
0010484c4c300880,9cdcc9ccdcc5cc70 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)