Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166A37A33411935274437C6D530A65B3BE2E6994FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:5riLz4NP/y9svbliCd0gs6DFtiuCa28y2O9:dMmA7io |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1ead29c133 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
828cccc2c8ccdcaa |
|
VISUAL
wHash
|
00e4e470203cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8041a0815c588090,8a8cccc2cac8ccdc |
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.