Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EC4A971F380D429164381773BAFE944413AAE55AF0A671BBC27DC219A8527E1B33F6C |
|
CONTENT
ssdeep
|
3072:q8O4Q2N4SDkvxhi87HvKd8gqPlzdgsr3M:q8O4Q2N4SDkvxhiqC2gmlz+uM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8551fc8b496ea3c |
|
VISUAL
aHash
|
0000077f53711f0b |
|
VISUAL
dHash
|
b2de5fc7b7a3f1fb |
|
VISUAL
wHash
|
1b00077f53791f0f |
|
VISUAL
colorHash
|
38002000180 |
|
VISUAL
cropResistant
|
a2000a4c4c0e828a,a2808e8c8ca280b2,b2805a58c22a80da,b2de5fc7b7a3f1fb |
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 6724 techniques to evade detection by security scanners and make reverse engineering more difficult.