Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165A3FE274259352B4433C2C1346A6B7BE1A6998FFAE709404EECC7F62BFAC90741B15D |
|
CONTENT
ssdeep
|
768:SBgtpR4nXF6YjOpSpFlTC6rrWIHCjvqU6x27FM9:SmtpR4nXBKpSpFl26vPcqU6xU29 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93136d05d3137d2d |
|
VISUAL
aHash
|
00170f2e6e0f01ff |
|
VISUAL
dHash
|
dcbf3cdcdcbcf700 |
|
VISUAL
wHash
|
00070f2f7f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb77cdcdcbdf700,dcbf3ddcdcfcb777,b99315959195b3b3,6e878bc1a7a7aeca,68081032320c21d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.