Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127F3672302146A2E4437C3D075759B76D2B6E98FFAA70A404FDCC7B66BEAC50B81B51C |
|
CONTENT
ssdeep
|
1536:+p4UgQmTa3MZo+Hd1+e0Q1jjC3le2U80tB1OVNCHImRf2uSyn:+p4OQOb3BU80TuCHImKyn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c61be4bb6d839324 |
|
VISUAL
aHash
|
fd1c1c3811fff3f3 |
|
VISUAL
dHash
|
19b4fcf1632a2727 |
|
VISUAL
wHash
|
fd1c1c100197f3f3 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
19b4fcf1632a2727,0008607171602c10,000000c8c8cc4000 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.