Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107A39A33411935274037C6D530A95B3BE2E69A5FFAA70A010EECD7EB1BFACA0745711A |
|
CONTENT
ssdeep
|
1536:QLLz4NP/y9svbliCdw9vhOFtiuCa28y2O9:4mA99Zd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d362d53a9d29b44a |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
98c8c8cacc2cd3d0 |
|
VISUAL
wHash
|
00fcfc680600fbff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080810030108080,90c8ccc8c86c2cd2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.