Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189933AA43A58F5665AB3439710EF1503B338562B540E4C60B354FCAE72BCC9BA067FDA |
|
CONTENT
ssdeep
|
1536:atB1NHXFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:atB1lXjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cc6633cccc |
|
VISUAL
aHash
|
0000181018180000 |
|
VISUAL
dHash
|
00103020b2b20c30 |
|
VISUAL
wHash
|
00183c3c3c3c1800 |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
0000000000000000,00103020b2b20c30 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.