Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B310030C4198C2F158282F4BB765A9E56C7C204C71B2B46B1E8D39C1BCAC5ACCF629C |
|
CONTENT
ssdeep
|
24:hafaMG8t/c6/ZbxEbMWG9WuN44IlWdJAdgBQffAnfoy2Li:wHpE6v3WGM4IoOd4QffAnffIi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131ce4ecce44cce |
|
VISUAL
aHash
|
cfcfc7c70000ffff |
|
VISUAL
dHash
|
98999e9e98640000 |
|
VISUAL
wHash
|
070703030000ffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
98999d999e9e999c,0000000000000000,00c88080c8800000,0000018696410000 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)