Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F043BFC13209ED9008A83F6FF2963E8A68AE16ECA434D86D1FCC71525D2CFC9D19595 |
|
CONTENT
ssdeep
|
1536:pqhu++9NrwhE03IXNNFtDkxhz0Ub5I8SzGVuNyF1bUVVtreOfp7Jd4/pFf5I8Szp:dWFfGkpFWqvdVe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9299693796cdc68c |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
511fccdccccc13cc |
|
VISUAL
wHash
|
0040ffff7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
511fccdccccc13cc,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)