Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163526133F500DD2E8DD796D8F2C4A689511ED345FB3108C6A2A081BF6BC5CF469A93AD |
|
CONTENT
ssdeep
|
192:LYeeYdoQG+Iog8wxSkF0McnthWeNWb99/d7dhd9dQmfMmUU8VCojiL:poQG+IiYf/lzfamfMmUFCojiL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3695c62664c5173 |
|
VISUAL
aHash
|
00ffffffe7ffffff |
|
VISUAL
dHash
|
86515a304d4a3030 |
|
VISUAL
wHash
|
00d8cfcfe4ec809c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
865a1a084d523430,4080909696918040 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)