Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EA3CB23421925274437C2C4307A5B3BD2A6C99FFAE70E411EDCCBFA6AF9CA0745A51D |
|
CONTENT
ssdeep
|
768:35UStpR4nXF6YjOpSpFlTC6rriwdd4uk0hmZhSxbYX:35UStpR4nXBKpSpFl26vLm0KcYX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d252ec6dbb1243cc |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
06c4e85968e0a004 |
|
VISUAL
wHash
|
80343c3c2c20ffff |
|
VISUAL
colorHash
|
3a408000040 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,9002d86e26162666,0284ec495968e8a0 |
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.