CVE-2019-8451 (GCVE-0-2019-8451)

Vulnerability from cvelistv5 – Published: 2019-09-11 13:56 – Updated: 2024-09-16 19:14
VLAI Shadowserver Previdian
Summary
The /plugins/servlet/gadgets/makeRequest resource in Jira before version 8.4.0 allows remote attackers to access the content of internal network resources via a Server Side Request Forgery (SSRF) vulnerability due to a logic bug in the JiraWhitelist class.
Severity
6.5 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N
CWE
  • Server-Side Request Forgery (SSRF)
Assigner
References
Impacted products
Vendor Product Version CPE status
Atlassian Jira Affected: unspecified , < 8.4.0 (custom)
guessed Create a notification for this product.
Date Public
2019-09-10 00:00
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 98bfacec-1ca0-4853-b31c-13de88b4b3d8

Vulnerability ID: CVE-2019-8451

Status: Confirmed

Status Updated: 2026-09-06 00:00 UTC

Exploited: Yes

Characteristics
Severity: 65.0
Timestamps
First Seen: 2023-10-23
Asserted: 2023-10-23
Last Seen: 2026-09-06
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: Atlassian / JIRA | Class: other-software | Severity: Medium (CVSS 6.5) | IoT: no | In CISA KEV: no | Honeypot connections on 2026-09-06: 1
Evidence

Type: Honeypot

Signal: In The Wild Attempts

Confidence: 70%

Source: shadowserver

Details
1D 1
Iot no
Feed Shadowserver Foundation honeypot/exploited-vulnerabilities
Type http-scan
Class other-software
7D Avg 2
Vendor Atlassian
30D Avg 1
90D Avg 0
Product JIRA
Cisa Kev no
Connections 1
Observation Date 2026-09-06
Vulnerability Class CVSS
Vulnerability Score 6.5
Vulnerability Severity Medium
References
Created: 2026-07-01 07:17 UTC | Updated: 2026-09-08 01:01 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 0e8f7914-957d-4b50-a025-c9c6415d8cb8

Vulnerability ID: CVE-2019-8451

Status: Confirmed

Status Updated: 2026-04-23 00:00 UTC

Exploited: Yes

Timestamps
First Seen: 2026-04-23
Asserted: 2026-04-23
Scope
Notes: KEVIntel entry: The /plugins/servlet/gadgets/makeRequest resource in Jira before version 8.4.0 allows remote attackers to access the content of internal network... | Affected: Atlassian / Jira | CVSS: 6.5 (MEDIUM) | Used in malware: unknown | Not yet in CISA KEV: True
Evidence

Type: Public Report

Signal: Successful Exploitation

Confidence: 70%

Source: kevintel

Details
Feed KEVIntel (kevintel.com)
Title The /plugins/servlet/gadgets/makeRequest resource in Jira before version 8.4.0 allows remote attackers to access the content of internal network...
Vendor Atlassian
Product Jira
Added Date 2026-04-23T00:00:00.000Z
Cvss Score 6.5
Epss Score None
Cvss Severity MEDIUM
Epss Percentile None
Used In Malware unknown
Ahead Of Cisa Kev None
Not Yet In Cisa Kev True
References
Created: 2026-06-19 12:42 UTC | Updated: 2026-06-19 12:42 UTC
Show details on NVD website
To clipboard 

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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.


Detection rules are retrieved from Rulezet.


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Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.