CVE-2019-17026 (GCVE-0-2019-17026)
Vulnerability from cvelistv5 – Published: 2020-03-02 04:05 – Updated: 2025-10-21 23:35Summary
Incorrect alias information in IonMonkey JIT compiler for setting array elements could lead to a type confusion. We are aware of targeted attacks in the wild abusing this flaw. This vulnerability affects Firefox ESR < 68.4.1, Thunderbird < 68.4.1, and Firefox < 72.0.1.
Severity
8.8 (High)
SSVC
Exploitation: active
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-07 12:48 UTC
CWE
- IonMonkey type confusion with StoreElementHole and FallibleStoreElement
- CWE-843 - Access of Resource Using Incompatible Type ('Type Confusion')
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://www.mozilla.org/security/advisories/mfsa2… | x_refsource_MISC |
| https://www.mozilla.org/security/advisories/mfsa2… | x_refsource_MISC |
| https://bugzilla.mozilla.org/show_bug.cgi?id=1607443 | x_refsource_MISC |
| https://security.gentoo.org/glsa/202003-02 | vendor-advisoryx_refsource_GENTOO |
| https://usn.ubuntu.com/4335-1/ | vendor-advisoryx_refsource_UBUNTU |
| http://packetstormsecurity.com/files/162568/Firef… | x_refsource_MISC |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
| Mozilla | Firefox ESR |
Affected:
unspecified , < 68.4.1
(custom)
|
|
| Mozilla | Thunderbird |
Affected:
unspecified , < 68.4.1
(custom)
|
|
| Mozilla | Firefox |
Affected:
unspecified , < 72.0.1
(custom)
|
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 3745c8a2-8bd4-488f-a1e3-0e21eff75151
Exploited: Yes
Timestamps
First Seen: 2021-11-03
Asserted: 2021-11-03
Scope
Notes: Mozilla Firefox And Thunderbird Type Confusion Vulnerability | Affected: Mozilla / Firefox and Thunderbird | Description: Mozilla Firefox and Thunderbird contain a type confusion vulnerability due to incorrect alias information in the IonMonkey JIT compiler when setting array elements. | Required action: Apply updates per vendor instructions. | Due date: 2022-05-03 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://nvd.nist.gov/vuln/detail/CVE-2019-17026
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-843 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Firefox and Thunderbird |
| Due Date | 2022-05-03 |
| Date Added | 2021-11-03 |
| Vendorproject | Mozilla |
| Vulnerabilityname | Mozilla Firefox And Thunderbird Type Confusion 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: 72b0341b-7a50-4e4d-96bf-aaf2f79ec77d
Exploited: Yes
Timestamps
First Seen: 2021-11-03
Asserted: 2021-11-03
Scope
Notes: Incorrect alias information in IonMonkey JIT compiler for setting array elements could lead to a type confusion. We are aware of targeted attacks... | Affected: Mozilla / Firefox ESR, Thunderbird, Firefox | CVSS: 8.8 (HIGH) | EPSS: 0.46311 | 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 | Incorrect alias information in IonMonkey JIT compiler for setting array elements could lead to a type confusion. We are aware of targeted attacks... |
| Cve Id | CVE-2019-17026 |
| Vendor | Mozilla |
| Ghsa Id | None |
| Product | Firefox ESR, Thunderbird, Firefox |
| Added Date | 2021-11-03T00:00:00.000Z |
| Cvss Score | 8.8 |
| Epss Score | 0.46311 |
| Previous Ids | |
| Cvss Severity | HIGH |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.98781 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2019-17026 |
| 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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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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