Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EA3DC234118392B4437C2D1347A5B3BD1E7C95BFAE70E014EDC8BEA6AF9CA0745A25D |
|
CONTENT
ssdeep
|
768:mPKWltpR4nXF6YjOpSpFlTC6rradWVJodICZrcD7X:mPKWltpR4nXBKpSpFl26vadWwdzrcXX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d216ed6d991ac964 |
|
VISUAL
aHash
|
00003c0c2cf0e0ff |
|
VISUAL
dHash
|
3ae4697948474109 |
|
VISUAL
wHash
|
80263c1cfcf0e0ff |
|
VISUAL
colorHash
|
1a600010000 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,000080c080a00080,0000000000000202,3a64e97958474509 |
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.