Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A103637694449A3F03C3C2C6BBB46B5FF2D6E24ACA6B1616A3F8831D07C6E81CD31556 |
|
CONTENT
ssdeep
|
768:ELYAlqCtLc6AKgtcQozEdzeTdeLPgXTCcfjgI+ItdiQwIPrbE3ru:iqCtLc6AKgtcQozEdzeTdeLPgXTCcfjV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e7ce106d93c9933 |
|
VISUAL
aHash
|
ff0000181c1000ff |
|
VISUAL
dHash
|
23473571716545ab |
|
VISUAL
wHash
|
ff80043f3c3c00ff |
|
VISUAL
colorHash
|
0a038000040 |
|
VISUAL
cropResistant
|
022c02222322020d,e72767c29aaca6a0,e12024830b8b2320,0008146970703004,474d357171656dab |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.