Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121A37933411835274437C6D534A55B3BE2E79A4FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:78nAFLz4NP/y9svbliCd1pxhBFtiuCa28y2O9:LmA4O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373fc3acd2c9402 |
|
VISUAL
aHash
|
00400000000000ff |
|
VISUAL
dHash
|
0c88c8c0cccd0fb6 |
|
VISUAL
wHash
|
c0ece4783c0703ff |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
008081303000a000,0408c8c8c0cc2d0f |
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.
Pages with identical visual appearance (based on perceptual hash)