Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BA3DC234219362A4437C2C134BA5B7BE1A6999FFAE709400EDCCBF62BF9C90741A51D |
|
CONTENT
ssdeep
|
768:BOXStpR4nXF6YjOpSpFlTC6rrWEeXEqG+W:BOCtpR4nXBKpSpFl26vreUqpW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93136d0dd3136d2d |
|
VISUAL
aHash
|
001f0f2e2e0f01ff |
|
VISUAL
dHash
|
dcbf7cdcdcfcb700 |
|
VISUAL
wHash
|
000f0f2f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd375cdcdcbdf700,dcbf3ddcdcdcb777,93b3269696d69393,4e0f934143464e4a,68081032320c21d4 |
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.