Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143E112F1D415ED3B4363C6D5ABB56B0B76A1C349CB03094493F893AB5BCAC60CE225D9 |
|
CONTENT
ssdeep
|
96:TkV6YmszD0+Q38v67mhCScLIyt5q3DFW1XOHFU9XxX/hvkMtnQkJ:QV6YmszD0r8i66LIyTq3lsXVkMtQi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb631c4c3b131e0f |
|
VISUAL
aHash
|
00e1e5c181ffffff |
|
VISUAL
dHash
|
43934b0b47671002 |
|
VISUAL
wHash
|
00e0c18180fbffff |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
974b4b0b47025002,c0d660619d061607,0b09090d0d0d1d78,57571f1fcf4f0f1f |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)