Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169029D386074E9E310D2AFD09A305616B389F187EAD32B4632E69B8E5FD6DCCCD02941 |
|
CONTENT
ssdeep
|
96:QUse4sklcCsYsklcCqSj/I0tH7qQ51cD2hegIdyd2rsKSG27ViI:QS4sklcCsYsklcCnsoH/N8gIdK2rsFGS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4ec1b1b923636c3 |
|
VISUAL
aHash
|
fffff7f7ff000000 |
|
VISUAL
dHash
|
392227250772d4d4 |
|
VISUAL
wHash
|
fff3d3d7f7000000 |
|
VISUAL
colorHash
|
060010001c0 |
|
VISUAL
cropResistant
|
2138222725250412,083032b248caaa15,9288b29296968292,147061c4d4d4d4c4 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.