Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD327133A600CD294DAB55CCF6C09A88425ED346FB3148CAB1A091FF7BC4DF169A939D |
|
CONTENT
ssdeep
|
192:rr3JwWCYcHcZch2IYgpX8eewNxLKUKXMcnthWeNWbnfMmUU8VCorN:iWlcHcZch2IYgpXBewKUKIfMmUFCorN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0608f0f8f1f8f12 |
|
VISUAL
aHash
|
00c0c2c2460604ff |
|
VISUAL
dHash
|
bb9e9e9e9e7cfcf8 |
|
VISUAL
wHash
|
01c3c7c7c70606ff |
|
VISUAL
colorHash
|
01000000038 |
|
VISUAL
cropResistant
|
9a9e9e9e9c7cfcf8,68603070c0516d6c,bb9e9e9e9e7cfcfc |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.