Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F21296F35054082E4183C3A4FFA63A1DE79DE5CACE2B4649D2FC839D62C6E62DC53A14 |
|
CONTENT
ssdeep
|
192:LgAF1HEBB5J+xFPbcBfTpim6xjZFUoBOUxFPbcD3W:LgIHGJYzoaFpBOOzsW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
acd996363370d8d8 |
|
VISUAL
aHash
|
0f1f1b0303031f1f |
|
VISUAL
dHash
|
fff733b7b7b7b7ff |
|
VISUAL
wHash
|
1f1f9b0303131f1f |
|
VISUAL
colorHash
|
110000001d0 |
|
VISUAL
cropResistant
|
a280b09686928082,fff733b7b7b7b7ff |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.