Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141B3DE23421935274437C2C1346A5B3BD1A69A9FFEE709414EEC8BFA2BFAC90741B15D |
|
CONTENT
ssdeep
|
768:V4nIPtpR4nXF6YjOpSpFlTC6rrWqIyqxGEam780Kd5t:V4IPtpR4nXBKpSpFl26vFIyWGENAF/t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93136d09d3137d2d |
|
VISUAL
aHash
|
000f0f3e3e0f01ff |
|
VISUAL
dHash
|
d8bf7cdcdcb9b700 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd37dcdcdcb9f700,dcbd3cdcfcdcbb77,b99315959195b3b3,1e272101878e9a32,68081032320c21d4 |
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.
Pages with identical visual appearance (based on perceptual hash)