Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C041AED23205FDE048783F9BF2672E8A78AE56ECA520E45D2FC8B1525C1CBC9E155C1 |
|
CONTENT
ssdeep
|
1536:l6Rus+xN9Whq03IRNNFbDkxhN0Ub5I8SzGVuNyF1bGVVHreOlphJd4/pFx5I8SzF:n2n78k3DWytJV0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
929c693696cdc78c |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
3317ccdccccc13cc |
|
VISUAL
wHash
|
0042ffff7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
3317ccdccccc13cc,6c6c313b5858dda6,4521416969610145,4141314d4d214101 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)