Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7952563B73204146B78D5C4B05A8B6E2155139EFA018AF4BBDDCA36F4CE16731B0BDA |
|
CONTENT
ssdeep
|
3072:uEYo/lSAbbwNVsQbuAAfGGVGAmwBa3ogtefTThcJczhDpsONHsr/c5gBzcqy1TLD:4o/lSgu4zhDpsONHsPu4/pcrMfa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a74df20772264 |
|
VISUAL
aHash
|
e7ffc3c3c3ffc3c3 |
|
VISUAL
dHash
|
86968e8e960e8e96 |
|
VISUAL
wHash
|
c3c3c3c3c3e3c2c3 |
|
VISUAL
colorHash
|
060000004c0 |
|
VISUAL
cropResistant
|
86968e8e960e8e96,8909098989999989,4949494949494949,498d8d0d2b2f2f0f,525656572956565f,899c9cb4d9495149,458ba421db35b9da,5101696931616101 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)