Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14671647181989827A2E3C1C1BAB5976B73C8428EC64707015BFD93EC5FDBEA4EE21244 |
|
CONTENT
ssdeep
|
96:TMD0wMTkr1LyzgbLQxbO3odk3xzEpNzUKMjf1HiTBdM:chycMb/dIxNKMjtCVS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666666466996699 |
|
VISUAL
aHash
|
c3c3fff7ffffffe7 |
|
VISUAL
dHash
|
4d4c084c4c08484d |
|
VISUAL
wHash
|
03030727242c2400 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4d4c084c4c08484d,0268692060303004 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.