Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0235C72A332B87843DB92DEE7382D46B2D2549EE9C74550F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aDdlr+EsZx8/G8JACDVSEMDBISbMDBE3Ucix+y9dQpUDF1E56ITmHTCd3m6DPqD5:aH+EsZ/8J5DVSEMDBISbMDBE3UXx+y9P |
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)