Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AF121E0C044DD3A531286E5F7F56B1FB591C309CF060A8853FC52AB57DAC60DA23B9A |
|
CONTENT
ssdeep
|
192:Q/e7VhOhHW1UbNZirHR/xPiDztQT6iaJi:Q/FQezo76u6iaJi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e0e0f4e5c4e5e5c |
|
VISUAL
aHash
|
001fffffffffffff |
|
VISUAL
dHash
|
69fe60b3b10d0912 |
|
VISUAL
wHash
|
0001ff8181c3fbff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
69fe60b3b10d0912,0101010101010101,4040448aaa4b4beb |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.