Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6A3DB23415925274437C2D134BA5B3BD1A6D99FFAE70A410EECCBFA2BF9CA0741B119 |
|
CONTENT
ssdeep
|
768:BBTctpR4nXF6YjOpSpFlTC6rrWjIqSJbm59+CP5M2cSIc3G:BBYtpR4nXBKpSpFl26vxdTI5MT1c3G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9202ed387aed7171 |
|
VISUAL
aHash
|
00040404045fffff |
|
VISUAL
dHash
|
f9ecccecccbc002b |
|
VISUAL
wHash
|
000e060604ffffff |
|
VISUAL
colorHash
|
0b002000c40 |
|
VISUAL
cropResistant
|
4d58d86c112020c0,0000408080400000,8000619191610080,0000408090004080,888a9a92c4ba8cc9,7c000957562b2b2b,d1fdecccccec9cbc |
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.