Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E234A726372B97843DBA1EEF7382A45B2D2988DE8C74554F1C95A8D23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:aN+EsZx8/G8po4MDawnMIBiw0MIBywZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:aN+EsZ/8pbMDawnMIBiw0MIBywZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf5ac0c2c672721e |
|
VISUAL
aHash
|
fc9f878fbf8f8fff |
|
VISUAL
dHash
|
49313d7961193b36 |
|
VISUAL
wHash
|
ac9f87879f818193 |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
49313d7961193b36 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)