CVE-2017-0222 (GCVE-0-2017-0222)
Vulnerability from cvelistv5 – Published: 2017-05-12 14:00 – Updated: 2025-10-21 23:55Summary
A remote code execution vulnerability exists when Internet Explorer improperly accesses objects in memory, aka "Internet Explorer Memory Corruption Vulnerability." This CVE ID is unique from CVE-2017-0226.
Severity
8.8 (High)
SSVC
Exploitation: active
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-10 16:22 UTC
CWE
- Remote Code Execution
- CWE-787 - Out-of-bounds Write
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://portal.msrc.microsoft.com/en-US/security-… | x_refsource_CONFIRM |
| http://www.securityfocus.com/bid/98127 | vdb-entryx_refsource_BID |
| http://www.securitytracker.com/id/1038423 | vdb-entryx_refsource_SECTRACK |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Microsoft Corporation | Internet Explorer |
Affected:
Windows Server 2008 for 32-bit Systems Service Pack 2, Windows Server 2008 for x64-based Systems Service Pack 2, Windows 7 for 32-bit Systems Service Pack 1, Windows 7 for x64-based Systems Service Pack 1, Windows 8.1 for 32-bit systems, Windows 8.1 for x64-based systems, Windows RT 8.1, Windows Server 2012, Windows Server 2012 R2, Windows 10 for 32-bit Systems, Windows 10 for x64-based Systems, Windows 10 Version 1511 for 32-bit Systems, Windows 10 Version 1511 for x64-based Systems, Windows 10 Version 1607 for 32-bit Systems, Windows 10 Version 1607 for x64-based Systems, Windows 10 Version 1703 for 32-bit Systems, Windows 10 Version 1703 for x64-based Systems, and Windows Server 2016.
|
guessed |
Date Public
2017-05-09 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: ade45482-3edd-4e9c-91a2-18ff214c501c
Exploited: Yes
Timestamps
First Seen: 2022-02-25
Asserted: 2022-02-25
Scope
Notes: KEV entry: Microsoft Internet Explorer Remote Code Execution Vulnerability | Affected: Microsoft / Internet Explorer | Description: A remote code execution vulnerability exists when Internet Explorer improperly accesses objects in memory. | Required action: Apply updates per vendor instructions. | Due date: 2022-08-25 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://nvd.nist.gov/vuln/detail/CVE-2017-0222
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-119 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Internet Explorer |
| Due Date | 2022-08-25 |
| Date Added | 2022-02-25 |
| Vendorproject | Microsoft |
| Vulnerabilityname | Microsoft Internet Explorer Remote Code Execution Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-02-02 12:28 UTC
| Updated: 2026-02-06 07:17 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: fa62b1f6-e45b-4b4d-aafd-eb9f0f6953ab
Exploited: Yes
Timestamps
First Seen: 2022-02-25
Asserted: 2022-02-25
Scope
Notes: KEVIntel entry: A remote code execution vulnerability exists when Internet Explorer improperly accesses objects in memory, aka "Internet Explorer Memory Corruption... | Affected: Microsoft Corporation / Internet Explorer | CVSS: 8.8 (HIGH) | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | A remote code execution vulnerability exists when Internet Explorer improperly accesses objects in memory, aka "Internet Explorer Memory Corruption... |
| Vendor | Microsoft Corporation |
| Product | Internet Explorer |
| Added Date | 2022-02-25T00:00:00.000Z |
| Cvss Score | 8.8 |
| Epss Score | None |
| Cvss Severity | HIGH |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-06-23 14:04 UTC
| Updated: 2026-07-10 06:14 UTC
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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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