Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C328333A040852E4EA792DCFBC5F3996559C18AFB3088C2A5F9503FA7C1EEA543179D |
|
CONTENT
ssdeep
|
96:wJQt7CRdf0R1s6Mx+tng+L+ojnYIR96G1s/xMRXlJzKwIZEz+4IWfMmORR1E8VC3:s2VStJojnYCLhXzzpIKoWfMmUU8VCoOp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b97984c4699b92e6 |
|
VISUAL
aHash
|
81818181c3ffffff |
|
VISUAL
dHash
|
23270b0b23c09fec |
|
VISUAL
wHash
|
81818181817f7fff |
|
VISUAL
colorHash
|
17000e00000 |
|
VISUAL
cropResistant
|
23270b0b23c09fec,3fdfde8e64c6d0e0,436d83840c8ca8a1 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.