Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FA35A33411935274437C6D530A55B3BE2E69A4FFAA70A010EECD7EB2BFACA0745711A |
|
CONTENT
ssdeep
|
1536:gcIR2Lz4NP/y9svbliCd6/6gm2r0tFtiuCa28y2O9:jmAf0e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373fc3acc2c9422 |
|
VISUAL
aHash
|
00400000000000ff |
|
VISUAL
dHash
|
0cc8c8c0cc2d0fb6 |
|
VISUAL
wHash
|
c0ece0783e0703ff |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
008081303000a000,0488c8c0c0cc0d0f |
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.