Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E042AFC13609ED904C683F5BF2462E8A79BE16ECA264D49D2FC8B1935C1CBCDD16981 |
|
CONTENT
ssdeep
|
1536:wCkuuNC1h503I8NNFsDkxhW0Ub5I8SzGVuNyF1bVVV0reOKpwJd4/pF+5I8SzGVq:qmURfku0WVWpVT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92c9693796ccc6cc |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
491fccdccccc13cc |
|
VISUAL
wHash
|
00407f7f7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
491fccdccccc13cc,63635c1c5c5cdaa2,4521416969610145,4141314d4d214101 |
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)