Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185226233A600CD2A8D9B56CCF2C09689511DC345FB3148CAB1A491FF7BC5DF0A99979D |
|
CONTENT
ssdeep
|
192:p/3JId1FmvxEKxhMcnthWeNWbc0LfMmUU8VCoYe:41Fg0LfMmUFCoYe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e169786969793165 |
|
VISUAL
aHash
|
c1f7fff9e1ffffff |
|
VISUAL
dHash
|
9b07060b0b040a00 |
|
VISUAL
wHash
|
01010101c1c1fffe |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
9b07060b0b040a00,0040004040200080,100c32b2b2300800 |
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.