Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F0262E1D054DD32071281D5BBF67B6F7AB6C318CB010E9453F853BA67CBCA0CA22998 |
|
CONTENT
ssdeep
|
96:TkTGTzQTf/Rhkza8SZwJRFehX8HF+tXdHF5yjFXuX/jMKjt/QI+AT431:QTGTzQTf0zgwJlGnX3pQi8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8707f0f803f8f0f4 |
|
VISUAL
aHash
|
3f373f3f3f3fff7f |
|
VISUAL
dHash
|
616e6e686c6000c0 |
|
VISUAL
wHash
|
3f000123143fff3f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
616e6e686c6000c0,f382b4b6b6b482f3,0836616136080000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)