Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7126323A600DD2A8D9B56CCF5C49988415ED345FB3148CBB1A090FF7BC4DF0A5A979E |
|
CONTENT
ssdeep
|
192:Kdlh/4K1FdpPxz0FxVMcnthWeNWbnfMmUU8VCoE:elhT9HfMmUFCoE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8101abab157b7b2b |
|
VISUAL
aHash
|
007e7e3e7effffff |
|
VISUAL
dHash
|
caccccccd408c000 |
|
VISUAL
wHash
|
002424240cffffff |
|
VISUAL
colorHash
|
06442000000 |
|
VISUAL
cropResistant
|
caccccccd408c000,2b9f2fbb33abb32b,33e3abd39b47031d,a49a1c065351d6d6,7e391adbda601200 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.