Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D234A72A722B87883DB91EEF7382D46B2C6549DE8C74550F5C996CD23C3C816287BB4 |
|
CONTENT
ssdeep
|
768:aC+EsZx8/G8zRsaDVSDMDBVS7MDB7Ucix+y9dQpUDF1E56ITmHTCd3m6DPqDv7AE:aC+EsZ/8d5DVSDMDBVS7MDB7UXx+y9db |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ac0c8c3c73374 |
|
VISUAL
aHash
|
fd8f879fbf8fdfff |
|
VISUAL
dHash
|
493d3d7975393737 |
|
VISUAL
wHash
|
ad9f878f81818397 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
493d3d7975393737 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)