Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED235B72A732B8B843DB92DEE7382A45B2D6549DF8C74550F1C59ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aU+EsZx8/G8OhkUUXCgkEDVS3MUB1SIMUBL3Uuix+y9dQpUDF1E56ITmHx3naOhX:aU+EsZ/8OhkUUXCgXDVS3MUB1SIMUBLM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3e3078c0c9cbc1 |
|
VISUAL
aHash
|
9f878fbf8f8fdfff |
|
VISUAL
dHash
|
333d7d6119373769 |
|
VISUAL
wHash
|
8f838791818783ff |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
333d7d6119373769 |
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)