Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17362F09018495A2D935A4DCD450BFB26354BD2D1CF8EA898B7F1A2F63FE7D18040C2BB |
|
CONTENT
ssdeep
|
192:2X3xt83DTLbDzuhk+cmUoBckn+NtttVll17BoltNt1tvllmqjtt1Dh+6d9pHLthz:2X3MPDzuYkns8cSrFLt7d9c204BIBuFp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6d9a96689592619 |
|
VISUAL
aHash
|
fcfcc8fcf4e0c0d0 |
|
VISUAL
dHash
|
00101008680c1014 |
|
VISUAL
wHash
|
f8f8d8ecfce480c0 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
00101008680c1014 |
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)