Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112D39761BA036426309F52CFD227271D22D1EBCCDB825BF955F4436496F5CE0BFA22A0 |
|
CONTENT
ssdeep
|
768:HulvQQTJZzSwd4tMG1mpbMRgIAM+YDWQRaspfvQQTJZ0Swd4tMG1mpbMRgIAM+YK:OljTOAM+8WQRaSfjTTAM+FWQRau |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9998ccd999366669 |
|
VISUAL
aHash
|
1818000c38001818 |
|
VISUAL
dHash
|
71710e5952123030 |
|
VISUAL
wHash
|
7c3c047e38003c3c |
|
VISUAL
colorHash
|
38201000082 |
|
VISUAL
cropResistant
|
f46c6925b6233190,71710e5952123030 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.