Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117A3ED234219752B4437C2D1346A6B7BD1A6998FFAF609001EECCBF62BF9C90741B61D |
|
CONTENT
ssdeep
|
768:+JlXItpR4nXF6YjOpSpFlTC6rrWO1V+Gkwrkqvs+Tv2:+JdItpR4nXBKpSpFl26v/nHkwrkqvHv2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d13134f6f29 |
|
VISUAL
aHash
|
001f073e6e2f01c7 |
|
VISUAL
dHash
|
ddbdfddcdcdcb73f |
|
VISUAL
wHash
|
000f017f7f3f01cf |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd3ffcdcdcfca73f,ddbd3bdcd8dcb777,911515c2c6d6d69a,0e430113961c3222,68091032320c21d4 |
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.