Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162A37933411935274437C6D130A55B3BE2A6999FFAA70E010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:5QeXy5NBF57FGLz4NP3+mZY9svblTOCVrYsXqPmlFtiuCa28y2OZL:+gLz4NP/y9svbliCdHqcFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a9529c503 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
4c4cc4cacccda398 |
|
VISUAL
wHash
|
c0e6fe200400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0000a08138188090,c60cc4c6cccccd23 |
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.