Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BDF23F3566586D37B5D78AD1A634A32F32E6A24ADE1B130583FC87BC8BCBDD4DC22054 |
|
CONTENT
ssdeep
|
384:5IIeXxi2maUPuJ6Im+96Z47+UDNLiw3oKedMvCU8:5IIEi2mfDImyG0+ENL31ASE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3d53c3c92b6c6a1 |
|
VISUAL
aHash
|
0630747e6c200301 |
|
VISUAL
dHash
|
b4c3ccccd9c28b0b |
|
VISUAL
wHash
|
5e787e7e6c60030d |
|
VISUAL
colorHash
|
38000000c00 |
|
VISUAL
cropResistant
|
b4c3ccccd9c28b0b |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.