Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDF19870512C6D1C910387CCD77AB3763149E2C9DB4E030856D99379A9C6EEAEC392ED |
|
CONTENT
ssdeep
|
96:TwAgGJ3JesBDnIjh6wmBJVjTEE+kGTndxd9UyM+5jt9lMvfcHJO67:P5esBDyhE7TEEPGTndrNtFpMcpO67 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cce273d9c8666299 |
|
VISUAL
aHash
|
ff00001818180000 |
|
VISUAL
dHash
|
01802030b2300c10 |
|
VISUAL
wHash
|
ff4018183c3c0cff |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
8000080c0c000880,01802030b2300c10 |
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 162 techniques to evade detection by security scanners and make reverse engineering more difficult.