Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E234B726322B87843DB92EEE7382D56B2D6549DE8C74410F5C996CD23C3CC16297BB8 |
|
CONTENT
ssdeep
|
768:aSu20+EsZx8/G8BRs/DVSYMDBnSTMDBB3Ucix+y9dQpUDF1E56ITmHTCd3m6DPqd:aB+EsZ/8jaDVSYMDBnSTMDBB3UXx+y9b |
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)