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Bottlepy

First CVE: Oct 25, 2014Active for: 12 yearsTotal CVEs: 4

Bottle is a lightweight Python web framework whose vulnerability profile centers on HTTP parsing and request-handling logic in its single core product. The recurring weakness classes—improper handling of exceptional conditions, input validation gaps, CRLF injection, and HTTP request smuggling—reflect the complexity of correctly parsing and neutralizing untrusted HTTP traffic in a compact framework implementation. Current severity, exploitation activity, and exposure counts are shown alongside this summary.

FAUCET AI Generated
4
Total CVEs
More Total CVEs than 79% of tracked vendors
1.0
Avg CVEs / Product / Year
More Avg CVEs / Product / Year than 12% of tracked vendors
7.5
Avg CVSS Score
Higher Avg CVSS Score than 57% of tracked vendors
0.0%
In CISA KEV
Bottom 1%

Trends Over Time

The number and severity of CVEs published that impact products developed by Bottlepy over time

Volume of CVEsAvg CVSS Base Score
First CVE
Oct 25, 2014
11 years ago
Most Recent CVE
Jun 2, 2022
1,514 days ago

Products(1 total)

Top CVEs

Signals from CVEs in this vendor scope (4 CVEs).

4 CVEs · Highest risk first

CVEPublishedCVSSRiskKEVExploit
CVE-2022-31799CRITICAL
Bottle before 0.12.20 mishandles errors during early request binding.
Jun 2, 20229.831NONO
CVE-2020-28473MEDIUM
The package bottle from 0 and before 0.12.19 are vulnerable to Web Cache Poisoning by using a vector called parameter cloaking. When the attacker can separate query parameters usin
Jan 18, 20216.823NONO
CVE-2014-3137MEDIUM
Bottle 0.10.x before 0.10.12, 0.11.x before 0.11.7, and 0.12.x before 0.12.6 does not properly limit content types, which allows remote attackers to bypass intended access restrict
Oct 25, 20146.819NONO
CVE-2016-9964MEDIUM
redirect() in bottle.py in bottle 0.12.10 doesn't filter a "\r\n" sequence, which leads to a CRLF attack, as demonstrated by a redirect("233\r\nSet-Cookie: name=salt") call.
Dec 16, 20166.518NONO
View all 4 CVEs →

CVE Severity & Scoring

Severity distribution of CVEs that affect this vendor's products4 CVEs
75%
25%
Severity distribution among all CVEs352,427 CVEs
45%
40%
11%
MediumCritical
Attack Vector
Local0 (0.0%)
Network3 (75.0%)
Unknown1 (25.0%)
Physical0 (0.0%)
Adjacent Network0 (0.0%)
Attack Complexity
Low2 (50.0%)
High1 (25.0%)
Unknown1 (25.0%)
User Interaction
None1 (25.0%)
Unknown1 (25.0%)
Required2 (50.0%)
Privileges Required
Low0 (0.0%)
High0 (0.0%)
None3 (75.0%)
Unknown1 (25.0%)

Exploit Exposure

Signals from CVEs in this vendor scope (4 CVEs).

CISA KEV
0 CVEs
0.0% of CVEs· Bottom 1%
Metasploit
0 CVEs
0.0% of CVEs· Bottom 1%
Nuclei
0 CVEs
0.0% of CVEs· Bottom 1%
ExploitDB
0 CVEs
0.0% of CVEs· Bottom 1%

Social Chatter

An overview of all social media posts that mention a CVE ID that affects a product developed by Bottlepy.

Media Mentions

Media articles that mention a CVE ID that affects a product developed by Bottlepy — matched by CVE ID, not by vendor name.

Top CNAs Publishing CVEs For Bottlepy's Products

View all 2 CNAs →

Top CWEs