Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AEA38A33411835274437C6D530A55B3BE2A6DA4FF9A70A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:4Sky5NCK1brZSLz4NP3+mZY9svblTOCVr0bj9EVX6+k1L:ELz4NP/y9svbliCd0Ki |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e13c1c6dc5c333 |
|
VISUAL
aHash
|
00ecfe7a6c3c0400 |
|
VISUAL
dHash
|
92ccc8c2c8dccc0a |
|
VISUAL
wHash
|
00fefefa7c7e0400 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
92ccc8c2c8dccc0a |
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.