Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFA3CD234159752A4437C3D030AA5B3BE1A6D99FFAE709015EDCCBF72AF9CA0B41A11D |
|
CONTENT
ssdeep
|
1536:rStpR4nXBKpSpFl26vOSZVpcjxC8z+IqC/z:SUMQcNC8zOC/z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d0353137f4d |
|
VISUAL
aHash
|
001f0f2e6f0f01c7 |
|
VISUAL
dHash
|
d8bf3cdcdcb8b30f |
|
VISUAL
wHash
|
000f0f2f7f0f01ef |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb75cdcdcb9f30f,d8bf3cdcdcd8bb77,b9534393244bc9c4,4e8f81c5a7a68eca,68000c32320c21d4 |
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.