CVE-2024-32484VulnerabilityPublished 22 Jul 2024Updated 4 Nov 2025

CVE-2024-32484: Ankitects Anki · Basic XSS

Affects Ankitects AnkiSource CVE Database V5

Not known to be exploited · 21% EPSS · CVSS 7.4 High.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score

7.4High

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 21.4% chance of exploitation in 30 days – higher than 97% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:N/A:N

Attack Vector: Network
Attack Complexity: Low
Privileges Required: None
User Interaction: Required
Scope: Changed
Confidentiality: High
Integrity: None
Availability: None

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed, up to and including the entire Internet. Such a vulnerability is often termed 'remotely exploitable' and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.
Privileges Required: None: The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files to carry out an attack.
User Interaction: Required: Successful exploitation of this vulnerability requires a user to take some action before the vulnerability can be exploited.
Scope: Changed: An exploited vulnerability can affect resources beyond the security scope managed by the security authority of the vulnerable component. In this case, the vulnerable component and the impacted component are different and managed by different security authorities.
Confidentiality: High: There is total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact.
Integrity: None: There is no loss of integrity within the impacted component.
Availability: None: There is no impact to availability within the impacted component.

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 22 Jul 2024
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Affected software

Product	Affected	Fixed in
Ankitects Anki	Affected =24.04	Fixed in–

AI-suggested

1. 2. Until a patch is released, restrict the import and use of flashcards from untrusted or unknown sources to minimize exposure. 3. Educate users about the risks of opening flashcards from unverified origins and encourage caution with shared decks. 4. Implement network-level controls to monitor and block suspicious traffic related to Anki’s Flask server, if feasible. 5. Use endpoint security solutions capable of detecting anomalous script execution or unauthorized file access triggered by Anki. 6. Consider sandboxing or running Anki in isolated environments to limit the impact of potential exploitation. 7. Monitor security advisories from Ankitects and related communities for updates and patches. 8. For organizations deploying Anki in managed environments, enforce application whitelisting and restrict user permissions to reduce potential damage from exploitation.

Description

An reflected XSS vulnerability exists in the handling of invalid paths in the Flask server in Ankitects Anki 24.04. A specially crafted flashcard can lead to JavaScript code execution and result in an arbitrary file read. An attacker can share a malicious flashcard to trigger this vulnerability.

Impact

For European organizations, especially educational institutions, training centers, and research groups that rely on Anki 24.04 for knowledge management and learning, this vulnerability poses a significant confidentiality risk. An attacker could distribute malicious flashcards via shared decks or public repositories, leading to arbitrary file reads on users’ systems, potentially exposing sensitive personal or organizational data. Since Anki is widely used in academic and professional environments, the breach of confidentiality could result in data leaks of intellectual property, personal information, or examination materials. The requirement for user interaction (opening the flashcard) limits mass exploitation but targeted attacks or social engineering could increase risk. The vulnerability does not affect system integrity or availability, but the confidentiality breach alone is critical. The lack of known exploits in the wild reduces immediate risk but does not eliminate the threat, especially as public awareness grows. Organizations using Anki should consider the risk in their threat models and restrict or monitor the sharing of flashcards from untrusted sources.

CWE-80Improper Neutralization of Script-Related HTML Tags in a Web Page (Basic XSS) (opens in a new tab)
Variant weaknessLikelihood of exploit: HighOWASP Top 10 A05:2025: Injection (opens in a new tab)
The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes special characters such as "<", ">", and "&" that could be interpreted as web-scripting elements when they are sent to a downstream component that processes web pages.
Implementation
Carefully check each input parameter against a rigorous positive specification (allowlist) defining the specific characters and format allowed. All input should be neutralized, not just parameters that the user is supposed to specify, but all data in the request, including hidden fields, cookies, headers, the URL…
Implementation · Output Encoding
Use and specify an output encoding that can be handled by the downstream component that is reading the output. Common encodings include ISO-8859-1, UTF-7, and UTF-8.
Implementation
With Struts, write all data from form beans with the bean's filter attribute set to true.
OWASP Cheat Sheets
Abuse Case (opens in a new tab)
Deserialization (opens in a new tab)
Cross Site Scripting Prevention (opens in a new tab)
DOM based XSS Prevention (opens in a new tab)
Injection Prevention (opens in a new tab)
OWASP ASVS 4.0.3
V1.5.1 (opens in a new tab)
V5.3.3 (opens in a new tab)
Attack patterns
XSS Targeting Non-Script Elements (opens in a new tab)
PHP Remote File Inclusion (opens in a new tab)
XSS Through HTTP Query Strings (opens in a new tab)
XSS Through HTTP Headers (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

Community reviews

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 4 Nov 2025, 17:52 UTC

WeaknessesCWE-80

Technical details

References

Community reviews

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