Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DA3AD23422929274437C2D1346A5B3BD1B6999FFAE709414EECC7FA2BF9CA0741B11D |
|
CONTENT
ssdeep
|
768:Z4Z3tpR4nXF6YjOpSpFlTC6rrsvsNmJs0gZljcrxaW89Zal/:ZQtpR4nXBKpSpFl26vesNm9Mgxy9Yl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9344e847bbc4b9c6 |
|
VISUAL
aHash
|
ff000e0e0e0eff8f |
|
VISUAL
dHash
|
23d8dc585858181b |
|
VISUAL
wHash
|
ff000e0e0e0efe8f |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
23d8dc585858181b,0140411100002206,81630d0923074705,7d7f7f67735f6e1d,5d2e342cacacac9c |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)