Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC4100729001E41BA3A3F1C4BA253B06A6D6828AC343057667FDD77D3AC9C27C87D96C |
|
CONTENT
ssdeep
|
48:TGqd6cscIwcacnph5IcUf5cF5fNgNicidkjwciFDPcjgYRH:TGU6zwRcRIzf5U6kjkEf58RH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6194c7166594cf3 |
|
VISUAL
aHash
|
00ffffffe7ffff00 |
|
VISUAL
dHash
|
d400280c0c080020 |
|
VISUAL
wHash
|
00cfc7c72727ff00 |
|
VISUAL
colorHash
|
06000e00000 |
|
VISUAL
cropResistant
|
d400880c0c080000,0834323230d02bd4,000018a4a0b22410 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)