Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198D131D1C118CD37436285D9A7F57B1BB6D2C349CF02098453F843EB5BDECA0DA26AA9 |
|
CONTENT
ssdeep
|
96:TkGoLgzeFMSftVSTkhUSPRhtcVAMMcwvFeeFXCHFfie1X2HFjeFXXpdX/eQGJ:QGoLgzejCGf2VAMMPc/Y8hX7A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da55a55a4aa5a9a9 |
|
VISUAL
aHash
|
fcfcfbfcfcdcffff |
|
VISUAL
dHash
|
2400021939b90020 |
|
VISUAL
wHash
|
c0c0e0c0c0dcffff |
|
VISUAL
colorHash
|
07482000000 |
|
VISUAL
cropResistant
|
2400021939b90020,48ef899f17878f9d,074f972ba3974d17 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.