Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2A34A33411935274437C6D130A95B3BD2E69D5FFAA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:cSvy5NgK/uTgLz4NP3+mZY9svblTOCVrcy1/kOqqzbXL:b0Lz4NP/y9svbliCd5/D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c373d13c1c3d8cc3 |
|
VISUAL
aHash
|
00e478202d03637e |
|
VISUAL
dHash
|
8cc8c0c8c937ced0 |
|
VISUAL
wHash
|
40e478703f07677e |
|
VISUAL
colorHash
|
38008000e00 |
|
VISUAL
cropResistant
|
8cc8c0c8c937ced0 |
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.