Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149A38A33411935274437C6D130A55B3BD2A79A8FFAA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:FcVPQMEUU1cLz4NP/y9svbliCdYQNCofeFtiuCa28y2O9:WFmArKN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d0699403 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
1c49c3e3ccccd3d8 |
|
VISUAL
wHash
|
80fd71300c067eff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
c900c08018588090,1409cbc3e3ccccd0 |
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)