Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B33A430B081763F21D3C3E677A56F1BA1D6C385C7332A5B93F987A80BDAC61AC51199 |
|
CONTENT
ssdeep
|
768:J0aqiH7EOmTc7eLHs/DrlecC3dzJJfBMiyYAtMNw+93flpVg8AXkBDB5N:ciH7GsrrjqNHMifA1+j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c94ee1e03c36b336 |
|
VISUAL
aHash
|
78383c181cffffff |
|
VISUAL
dHash
|
f0f06030b0c9c598 |
|
VISUAL
wHash
|
38383810187d7f7f |
|
VISUAL
colorHash
|
11006000000 |
|
VISUAL
cropResistant
|
a9a39a93b3b252b0,a4a4a45d5daeaca4,f0f06030b0c9c598 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.