Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103E2C531D009A83F0AAB62D5E7B5B36A22C5438DD907076A46FDC74C1BEBC50ED2B4D9 |
|
CONTENT
ssdeep
|
768:/II9juBTIIIIIo8LRj3xAl3wCQ5AiwSRuKrFsyn:/II9AIIIIIo8FzxAl3w95GyuKrWo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7e3711c1c3963c6 |
|
VISUAL
aHash
|
00e7efff7f181818 |
|
VISUAL
dHash
|
86cdcbb3e5f0f0f0 |
|
VISUAL
wHash
|
00e5ffdf7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d888c8c,0000706168640000,86cdcbb3e5f0f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)