Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF3264B0811064AA97C7BAF8D4A77E9B3537C5EAF50E088C93B85A491EC0FF5C8D45D4 |
|
CONTENT
ssdeep
|
192:JSzie8Ps9eRCyTgghbyyIQXZ69Bw1pmGr+570UpQvPs9enKEdO0UpQwsM:JSzifU9ETgoyy7J692nmGr+p0UavU9gI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8eb26969b49d5632 |
|
VISUAL
aHash
|
383c3e3e1c383838 |
|
VISUAL
dHash
|
336168746c617371 |
|
VISUAL
wHash
|
383d3e3e3e383838 |
|
VISUAL
colorHash
|
06200000e40 |
|
VISUAL
cropResistant
|
a39198c45494a1a1,fbfb8bbbf3f383c3,90e0605253726082,c1958d0505050505,ef0f01e1e34f585a |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.