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CVE-2020-36112 (GCVE-0-2020-36112)

Vulnerability from cvelistv5 – Published: 2021-01-04 14:46 – Updated: 2024-08-04 17:16
VLAI Shadowserver Previdian
Summary
CSE Bookstore version 1.0 is vulnerable to time-based blind, boolean-based blind and OR error-based SQL injection in pubid parameter in bookPerPub.php and in cart.php. A successful exploitation of this vulnerability will lead to an attacker dumping the entire database on which the web application is running.
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CWE
  • n/a
Assigner
References
URL Tags
https://www.exploit-db.com/exploits/49314 x_refsource_MISC
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: dabb8297-dc95-442f-8e45-596fe7709811

Vulnerability ID: CVE-2020-36112

Status: Confirmed

Status Updated: 2026-07-19 00:00 UTC

Exploited: Yes

Characteristics
Severity: 98.0
Timestamps
First Seen: 2023-10-14
Asserted: 2023-10-14
Last Seen: 2026-07-19
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: CSE Bookstore / CSE Bookstore | Class: other-software | Severity: Critical (CVSS 9.8) | IoT: no | In CISA KEV: no | Honeypot connections on 2026-07-19: 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 0
Vendor CSE Bookstore
30D Avg 1
90D Avg 2
Product CSE Bookstore
Cisa Kev no
Connections 1
Observation Date 2026-07-19
Vulnerability Class CVSS
Vulnerability Score 9.8
Vulnerability Severity Critical
References
Created: 2026-06-30 09:23 UTC | Updated: 2026-07-21 01:02 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: fcf00e2d-c4bb-4a54-a315-9be22dbeaf93

Vulnerability ID: CVE-2020-36112

Status: Confirmed

Status Updated: 2025-06-07 00:00 UTC

Exploited: Yes

Timestamps
First Seen: 2025-06-07
Asserted: 2025-06-07
Scope
Notes: KEVIntel entry: CSE Bookstore version 1.0 is vulnerable to time-based blind, boolean-based blind and OR error-based SQL injection in pubid parameter in... | Affected: CSE / Bookstore | CVSS: 9.8 (CRITICAL) | 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 CSE Bookstore version 1.0 is vulnerable to time-based blind, boolean-based blind and OR error-based SQL injection in pubid parameter in...
Vendor CSE
Product Bookstore
Added Date 2025-06-07T00:00:00.000Z
Cvss Score 9.8
Epss Score None
Cvss Severity CRITICAL
Epss Percentile None
Used In Malware unknown
Ahead Of Cisa Kev None
Not Yet In Cisa Kev True
References
Created: 2026-06-23 14:03 UTC | Updated: 2026-07-10 06:14 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.


Related by attack behaviour

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.