Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160D2E7B29C4C94379256CAC9A630679EA3028DD5C647C58ECCF6D30E2FCAEB6CD17250 |
|
CONTENT
ssdeep
|
768:YQ2+bZ2IQm5JpcQkHqk9fFOdEIc15egza/zM/4H7b:bZxaP1Q7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e97c9ea261796924 |
|
VISUAL
aHash
|
809c80c1e1e3ffff |
|
VISUAL
dHash
|
3b3c1a1b4b0b2438 |
|
VISUAL
wHash
|
808c80c0e1e3ffff |
|
VISUAL
colorHash
|
07201000180 |
|
VISUAL
cropResistant
|
3b3c1a1b4b0b2438,b6b6b2b69696b2b2,e1f1f1f170b4b239 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.