Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D93FE76A27B1822511FB2D4A2B08B192683DB89C3438BF6627D52F67FCD8757D1318C |
|
CONTENT
ssdeep
|
1536:2dJBHD9CDwZuAUU/DTiDJye6Omeee6kDI7tREcjfDxDN60DkDsPsCTasDl4tZbxo:IiwZuAVTMu+Ice1l+hsDl4tZbxzr77iB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936ccd3893d3cc4c |
|
VISUAL
aHash
|
00007e6e44466e6e |
|
VISUAL
dHash
|
d92be4c88888d8d8 |
|
VISUAL
wHash
|
50207e6e46467e6f |
|
VISUAL
colorHash
|
03200030000 |
|
VISUAL
cropResistant
|
d92be4c88888d8d8,4459a47811171b22,97c56931f1e1a0ac,4b433198d8d08c4d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.