Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119A38A33411835274437C6D530A55B3BD2E69A5FFAE70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:/SkZ5PF7/Lz4NP3+mZY9svblTOCVr4lKdgemRCilFtiuCa28y2OZL:5F7Lz4NP/y9svbliCdXQFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c34abd29ed42c71a |
|
VISUAL
aHash
|
00003420000004ff |
|
VISUAL
dHash
|
cc98c8c8e0c8ccbc |
|
VISUAL
wHash
|
00007e7c3830ffff |
|
VISUAL
colorHash
|
39000000418 |
|
VISUAL
cropResistant
|
0c03a081303080a0,cc12c8c8c0e0c8cc |
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.