Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1430340306940EA2601CF9AC99632672663F94345D62301C8FEB6C7FA4FAFC6DDA33545 |
|
CONTENT
ssdeep
|
768:QxFusIx/jgrT+ZXCHioT9BWO4MUf7UGzH+K0PH:+FusIxMrTSXCHioT9BWO4z7U5H |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f652e905b54b2935 |
|
VISUAL
aHash
|
000484e48600ffff |
|
VISUAL
dHash
|
cc4d0d0c4c5c282a |
|
VISUAL
wHash
|
00a4c4e6a604ffff |
|
VISUAL
colorHash
|
090000001c0 |
|
VISUAL
cropResistant
|
c8c084cb82d6e6b0,2b2b232b80a0882c,ca4d0d0d4c0c5c2a |
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 277 techniques to evade detection by security scanners and make reverse engineering more difficult.