Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A323B93118CD6F2B519382C8E311AA4BD392454CE2B68659F5DBC32B5AC5D94CC3FF98 |
|
CONTENT
ssdeep
|
768:KOFZvrFhiuMsb8LvUjWQXRUQguhxPyQqS9O/+WcAIjH4Q+DkpiWqFZvpNEJneM:KwrFhiuMsb8L8KQXrhR9O/+fAKYskpNs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebeacacbca84 |
|
VISUAL
aHash
|
fd06060606fffffb |
|
VISUAL
dHash
|
61ccccccec3c3333 |
|
VISUAL
wHash
|
fd060606060ffbf9 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
00410961618901a2,96d6e8b294710f8e,c0303c1313333313,ccccecccecececec,5ba7decec647d737 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)