Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFA36833411935274437C6D430A55B3BE2E6999FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:TWLz4NP/y9svbliCdLmHNhFtiuCa28y2O9:0mATy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247bd32b43c964c |
|
VISUAL
aHash
|
00203000000400ff |
|
VISUAL
dHash
|
ccc0c0caccccc3b8 |
|
VISUAL
wHash
|
06787060640efbff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
000080015c5880a0,9cc8c0c8c8ccccc3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.