Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACD26332B2802B3F91A7C2D8B721672AB2D3828DDB9A291153FD479D0FE7D14DD13526 |
|
CONTENT
ssdeep
|
384:zse/GL6KgiR+Yt01xP2Xt3uc3Iur3g0KjhjZTSBxIYsOy2+y9BH4cCUIe:Ie/GL6dZSt3oO63SL7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43a816dc7c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c0c48c8cd4d9b00 |
|
VISUAL
wHash
|
00c4f0300f07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c2c4848d9cdcd1b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.