Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1022B10310264B9871F9BFCB355B13E148AF788D327E9A963A920B057C3DD3C5F29A4 |
|
CONTENT
ssdeep
|
96:dIWNt6iEfdfSYCOSSo/s04Gv0BUdxwWQU883+nPMeQl883+n7eqSCuqa69CvuC2W:Dt6iEfpzi004GvlXXwPMbXw7eLCuAGtF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663399cc669933 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
0000303030b20010 |
|
VISUAL
wHash
|
00003c3c3f3f0303 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
0000303030b20010 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)