Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155B255721181D53F026793D4A360BF58A1C39209CB845644E7F8679AAFA7C93FC36A6C |
|
CONTENT
ssdeep
|
192:Mkt7m1LELBRb4GCdYtZglV9DdDIgV0RZ5B7Pg4SgmvMDIxV0h:Mh1oBoOtGXdDII0/7fS5UDIP0h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c5d830c7cd32c6 |
|
VISUAL
aHash
|
ee8fefa1c387dfff |
|
VISUAL
dHash
|
2a3b4c6b0f1c3a06 |
|
VISUAL
wHash
|
868ba7a1878783e7 |
|
VISUAL
colorHash
|
07002200600 |
|
VISUAL
cropResistant
|
2a3b4c6b0f1c3a06,b058d9c9c3d65c2d |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.