CVE-2020-8260 (GCVE-0-2020-8260)
Vulnerability from cvelistv5 – Published: 2020-10-28 12:47 – Updated: 2025-10-21 23:35Summary
A vulnerability in the Pulse Connect Secure < 9.1R9 admin web interface could allow an authenticated attacker to perform an arbitrary code execution using uncontrolled gzip extraction.
Severity
7.2 (High)
SSVC
Exploitation: active
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-07 12:32 UTC
CWE
- CWE-434 - Unrestricted Upload of File with Dangerous Type (CWE-434)
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://kb.pulsesecure.net/articles/Pulse_Securit… | x_refsource_MISC |
| http://packetstormsecurity.com/files/160619/Pulse… | x_refsource_MISC |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| n/a | Pulse Connect Secure / Pulse Policy Secure |
Affected:
9.1R9
|
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: ead53907-4e2b-41fe-b3eb-f0e7d19851bc
Exploited: Yes
Timestamps
First Seen: 2021-11-03
Asserted: 2021-11-03
Scope
Notes: Ivanti Pulse Connect Secure Code Execution Vulnerability | Affected: Ivanti / Pulse Connect Secure | Description: Pulse Connect Secure contains an unspecified vulnerability that allows an authenticated attacker to perform code execution using uncontrolled gzip extraction. | Required action: Apply updates per vendor instructions. | Due date: 2022-05-03 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): Reference CISA's ED 21-03 (https://www.cisa.gov/news-events/directives/ed-21-03-mitigate-pulse-connect-secure-product-vulnerabilities) for further guidance and requirements. Note: The due date for addressing this vulnerability aligns with the requirements outlined in ED 21-03. https://nvd.nist.gov/vuln/detail/CVE-2020-8260
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-434 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Pulse Connect Secure |
| Due Date | 2022-05-03 |
| Date Added | 2021-11-03 |
| Vendorproject | Ivanti |
| Vulnerabilityname | Ivanti Pulse Connect Secure Code Execution Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-10-02 08:10 CEST
| Updated: 2026-10-02 08:10 CEST
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 7e544ed8-4aa3-49a3-a366-2aee8af39219
Exploited: Yes
Timestamps
First Seen: 2021-11-03
Asserted: 2021-11-03
Scope
Notes: A vulnerability in the Pulse Connect Secure < 9.1R9 admin web interface could allow an authenticated attacker to perform an arbitrary code... | Affected: Pulse Secure / Pulse Connect Secure / Pulse Policy Secure | CVSS: 7.2 (HIGH) | EPSS: 0.9648 | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | A vulnerability in the Pulse Connect Secure < 9.1R9 admin web interface could allow an authenticated attacker to perform an arbitrary code... |
| Cve Id | CVE-2020-8260 |
| Vendor | Pulse Secure |
| Ghsa Id | None |
| Product | Pulse Connect Secure / Pulse Policy Secure |
| Added Date | 2021-11-03T00:00:00.000Z |
| Cvss Score | 7.2 |
| Epss Score | 0.9648 |
| Previous Ids | |
| Cvss Severity | HIGH |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.9988 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2020-8260 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-10-02 09:10 CEST
| Updated: 2026-10-02 09:10 CEST
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"dateUpdated": "2020-12-18T20:06:13.000Z",
"orgId": "36234546-b8fa-4601-9d6f-f4e334aa8ea1",
"shortName": "hackerone"
},
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],
"url": "https://kb.pulsesecure.net/articles/Pulse_Security_Advisories/SA44601"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "http://packetstormsecurity.com/files/160619/Pulse-Secure-VPN-Remote-Code-Execution.html"
}
],
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"ID": "CVE-2020-8260",
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},
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{
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},
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}
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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.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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.
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