Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1A37B33411935274437C6D130A55B3BE2E69D9FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:D5rLArLz4NP/y9svbliCdkgVC7hFtiuCa28y2O9:FKmA64y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372fc3acd2c9442 |
|
VISUAL
aHash
|
00400000000000ff |
|
VISUAL
dHash
|
0c88c8c0cccd0fb6 |
|
VISUAL
wHash
|
c0eee0783c0703ff |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
008081303000a000,0c88c8c8c0cc2d0f |
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.