Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA41613C646517EF258B85727A522F8D38CFC70FD2638D18E6F9D1AC23D6C408B045A0 |
|
CONTENT
ssdeep
|
48:TXg6Vjz9lAD2xH1iqra61iwU/HL18mz21gAcFlYBwDxvhD:TQ6bla2xMq2HwU2mzNAKYBwDFN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
915144587b6e6e3b |
|
VISUAL
aHash
|
007effffefffffff |
|
VISUAL
dHash
|
9a9a088c1d010000 |
|
VISUAL
wHash
|
006666666600ffff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
9a080c9c5d210000,4000204180809a9a |
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.