Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18A91CA3BB108337E43830775F79677BDAB774448E11B85A9A574821E23E5E96C322B90 |
|
CONTENT
ssdeep
|
96:n6UULzcJZyWeQDnLWX/ZES7E074oku7Dlpumcm+qxsqKZSYlpZv:63LzcJZyQLWhE84okSDlPcVqxNYlpZv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b80b0f0ef2f1f0f0 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
79739f1e96969696 |
|
VISUAL
wHash
|
000000c7c7dfdfff |
|
VISUAL
colorHash
|
0700000003a |
|
VISUAL
cropResistant
|
929e9e96969e9696,dfff69f7f371b7ef |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.