Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180043AFD13205EDD018783F5BF24A6E8B69AE1AECA430E49D1FC8B6521C1CBCDD29591 |
|
CONTENT
ssdeep
|
1536:VP5u1jSN+Bhf03IQNNFsDkxhw0Ub5I8SzGVuNyF1b5VVQreOmpMJd4/pFi5I8Szn:RC2BFk2gWWkZVS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9299693796ccc6cc |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
591fccdccccc13cc |
|
VISUAL
wHash
|
01037f7f7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
591fccdccccc13cc,6646303376709989,4521416969610145,4141314d4d214101 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)