Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11713D83154C46B2B46B382C193119F5BE3968144EA76CA4EF5EB831B5AC0D8DCC77B8D |
|
CONTENT
ssdeep
|
768:7rHdYd1VwmOQBb0mS+Tv/eKGNnfKll47i9n0lza4baP04baf4jpZof0pDtfJ8bs8:NwnOQBbQ+TvGzCllUi90ltbI04b24jpC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946bb096b0cbb6e4 |
|
VISUAL
aHash
|
ff00000016363646 |
|
VISUAL
dHash
|
7171c4d8ecece48c |
|
VISUAL
wHash
|
ff180008767e7e66 |
|
VISUAL
colorHash
|
02000000030 |
|
VISUAL
cropResistant
|
0001016363890006,84c4e0b4a01e1c88,2878787870707070,f8f8b8f8e92c3c68,30f0d0ececece48c |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.