Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130F254B0D1405D34B437D944B1A0CB9E7152D32BCA1B1B98EBAAF1E6B5C7FF38911289 |
|
CONTENT
ssdeep
|
768:IN6nDPjzJl/ERwS7F+N83tdWGJXlmnUSTf:Icn7JxQDgf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb69b4944516353d |
|
VISUAL
aHash
|
00f989f9f9f9ffff |
|
VISUAL
dHash
|
a213137373932c37 |
|
VISUAL
wHash
|
008989b9b9f9ff81 |
|
VISUAL
colorHash
|
08000038000 |
|
VISUAL
cropResistant
|
d313537313c32437,0186a686a6a64201,010d2d559541554d,0c3ed14d25f54a4a,e7e7599baac96c68,aaaa555555aa3253 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.