Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D263833241C6113BAE4386F46521BBEC3083078AE4D5936087BE47F4D6F7DE4E6AC59A |
|
CONTENT
ssdeep
|
768:fe9dyIYMGydCrzUuygJxOlYjQYjoYjRYjLYjPYjGYjubbY9YiuUCliZ+TpTcTPTT:oJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a969535f5013dac9 |
|
VISUAL
aHash
|
00010303fbffffff |
|
VISUAL
dHash
|
f0e3abb33373d388 |
|
VISUAL
wHash
|
00000103dbff7fff |
|
VISUAL
colorHash
|
06c01008000 |
|
VISUAL
cropResistant
|
808082a2a28080c0,e3ebb3333353d38c,91386ed2b4b9d376,d0f023e3cbebb3b3,7a99595016317113,c6d3b964d973369d |
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 220 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)