Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B234B726332B87843DBA2DEF7382D45B2D65499E8C74550F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aC+EsZx8/G8HqgDVRwMxBlRmMxBHUuix+y9dQpUDF1E56ITmHx3nqOhqePqDvHAh:aC+EsZ/8HZDVRwMxBlRmMxBHUxx+y9d7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb90e56ce4d195c4 |
|
VISUAL
aHash
|
818d8d8d81818181 |
|
VISUAL
dHash
|
595d5d5941514951 |
|
VISUAL
wHash
|
ffafaf8d81818181 |
|
VISUAL
colorHash
|
3ac00400000 |
|
VISUAL
cropResistant
|
595d5d5941514951,343038383cbc9c89,fef9f1e1f1f2e4e1,d8d8dad8c199d9c9 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)