Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105745A33421935260537C6D430B99B37D2A6DE5FFAA70A010EECD7E72BE9CA0745B11A |
|
CONTENT
ssdeep
|
1536:t1IIHZtsEJPjQBq1Wixx2NV6vvt8VPB6RxknNucRW891x2UdP38NEfoUrbkusX3n:t3LqjVaQ6V8NF2fyGP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a513caf81d2d98ce |
|
VISUAL
aHash
|
0000000007ffffff |
|
VISUAL
dHash
|
d4cdcccece162627 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
1b200180000 |
|
VISUAL
cropResistant
|
cc2e1696062726f8,d2ddcdc8cccecccc |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.