PYSEC-2026-1061
Vulnerability from pysec - Published: 2026-07-06 08:03 - Updated: 2026-07-07 11:31
VLAI
Details
Web2py versions 2.14.5 and below was affected by CSRF (Cross Site Request Forgery) vulnerability, which allows an attacker to trick a logged-in administrator into performing unwanted actions i.e An attacker can trick a victim into disable the installed application just by visiting a URL.
Severity
4.5 (Medium)
Impacted products
| Name | purl | web2py | pkg:pypi/web2py |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "web2py",
"purl": "pkg:pypi/web2py"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.14.6"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.96.4",
"1.98.2",
"2.1.1"
]
}
],
"aliases": [
"CVE-2016-4808",
"GHSA-gp69-xcm6-ffqj"
],
"details": "Web2py versions 2.14.5 and below was affected by CSRF (Cross Site Request Forgery) vulnerability, which allows an attacker to trick a logged-in administrator into performing unwanted actions i.e An attacker can trick a victim into disable the installed application just by visiting a URL.",
"id": "PYSEC-2026-1061",
"modified": "2026-07-07T11:31:25.987292Z",
"published": "2026-07-06T08:03:25.147793Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2016-4808"
},
{
"type": "PACKAGE",
"url": "https://github.com/web2py/web2py"
},
{
"type": "WEB",
"url": "https://www.exploit-db.com/exploits/39821"
},
{
"type": "WEB",
"url": "http://packetstormsecurity.com/files/137070/Web2py-2.14.5-CSRF-XSS-Local-File-Inclusion.html"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/web2py"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-gp69-xcm6-ffqj"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "Web2py Cross-Site Request Forgery vulnerability"
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Loading…
Loading…