Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1A36833411935274437C6D530A55B3BE2E6D98FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:8OBYLz4NP/y9svbliCdsU8FtiuCa28y2O9:OmA4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367bc3a9969c50c |
|
VISUAL
aHash
|
00002020000000ff |
|
VISUAL
dHash
|
444ccccedcccc3b0 |
|
VISUAL
wHash
|
c0eef6602c2071ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
c308a08138188090,d40cccc6c8ccccc3 |
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)