Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACE3E9A0F160547D427F92E6F7327B59F2DBE307EA8C07E6D2E947A84992D60EC13046 |
|
CONTENT
ssdeep
|
1536:sBTGU1XvHL2kGMjQNnKkJdsOdGR30epzE:so7nKEbGR30ey |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c47479c4dc306cf |
|
VISUAL
aHash
|
1800e7fbdfdfff00 |
|
VISUAL
dHash
|
722f6e13333c0fd3 |
|
VISUAL
wHash
|
1800a3ebdfdfcf00 |
|
VISUAL
colorHash
|
10000000c00 |
|
VISUAL
cropResistant
|
fe80b2b232b282a2,d6e9a9d191624e3c,c466961a5a98b2c8,722f6e13333c0fd3 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.