Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19242A371A481E93B018351E5EB396B2FB2F1C389C923071661FA835D5FEADB0CE13559 |
|
CONTENT
ssdeep
|
192:BdmEQLHPMp7LshZXWcyVONM1/oKVHCQ+UXqzgbTsvl8s1CdNQfRrVHSVjLLFn4qT:BdmxEVQ3mXVZvRhpgdgd1tKGpjli4J/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93936c6cc1c3b636 |
|
VISUAL
aHash
|
000c2c7c08001808 |
|
VISUAL
dHash
|
d419d9d950363239 |
|
VISUAL
wHash
|
7f0f7c7c0c183c1c |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
9ef8919978ec7676,c3e18c88cac2b272,d419d9d950363239 |
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 89 techniques to evade detection by security scanners and make reverse engineering more difficult.