Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15483E6316444AA3703D341C6DE68BB5EB2C69349CF124F91B6F85679ABE3FB198030D9 |
|
CONTENT
ssdeep
|
1536:Uyfzja2TDGC62byc13scQv1PaQ5BPwJv0dpmB25G40KO6nlJVsnvpD75WkNCP6GN:Uyfzjmc13scQv1PauBPwJv0dpmB25G4n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73c386363c6c639 |
|
VISUAL
aHash
|
00003c3c3c3c3c00 |
|
VISUAL
dHash
|
4a39696949486117 |
|
VISUAL
wHash
|
0008feff7e7e3c00 |
|
VISUAL
colorHash
|
39201008200 |
|
VISUAL
cropResistant
|
67c5cb998c8c8d84,4a39696949486117 |
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 271 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)