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Shared: Add shared concepts library
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/**
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* INTERNAL: Do not use.
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*
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* Provides classes and predicates for identifying strings that may indicate the presence of sensitive data.
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* Such that we can share this logic across our CodeQL analysis of different languages.
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*
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* 'Sensitive' data in general is anything that should not be sent around in unencrypted form.
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*/
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/**
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* A classification of different kinds of sensitive data:
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*
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* - secret: generic secret or trusted data;
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* - id: a user name or other account information;
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* - password: a password or authorization key;
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* - certificate: a certificate.
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* - private: private data such as credit card numbers
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*
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* While classifications are represented as strings, this should not be relied upon.
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* Instead, use the predicates in `SensitiveDataClassification::` to work with
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* classifications.
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*/
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class SensitiveDataClassification extends string {
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SensitiveDataClassification() { this in ["secret", "id", "password", "certificate", "private"] }
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}
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/**
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* Provides predicates to select the different kinds of sensitive data we support.
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*/
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module SensitiveDataClassification {
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/** Gets the classification for secret or trusted data. */
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SensitiveDataClassification secret() { result = "secret" }
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/** Gets the classification for user names or other account information. */
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SensitiveDataClassification id() { result = "id" }
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/** Gets the classification for passwords or authorization keys. */
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SensitiveDataClassification password() { result = "password" }
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/** Gets the classification for certificates. */
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SensitiveDataClassification certificate() { result = "certificate" }
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/** Gets the classification for private data. */
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SensitiveDataClassification private() { result = "private" }
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}
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/**
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* INTERNAL: Do not use.
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*
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* Provides heuristics for identifying names related to sensitive information.
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*/
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module HeuristicNames {
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/**
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* Gets a regular expression that identifies strings that may indicate the presence of secret
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* or trusted data.
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*/
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string maybeSecret() { result = "(?is).*((?<!is|is_)secret|(?<!un|un_|is|is_)trusted).*" }
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/**
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* Gets a regular expression that identifies strings that may indicate the presence of
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* user names or other account information.
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*/
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string maybeAccountInfo() {
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result = "(?is).*acc(ou)?nt.*" or
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result = "(?is).*(puid|user.?name|user.?id|session.?(id|key)).*" or
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result = "(?s).*([uU]|^|_|[a-z](?=U))([uU][iI][dD]).*"
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}
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/**
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* Gets a regular expression that identifies strings that may indicate the presence of
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* a password or an authorization key.
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*/
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string maybePassword() {
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result = "(?is).*pass(wd|word|code|.?phrase)(?!.*question).*" or
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result = "(?is).*(auth(entication|ori[sz]ation)?).?key.*"
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}
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/**
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* Gets a regular expression that identifies strings that may indicate the presence of
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* a certificate.
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*/
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string maybeCertificate() { result = "(?is).*(cert)(?!.*(format|name|ification)).*" }
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/**
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* Gets a regular expression that identifies strings that may indicate the presence of
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* private data.
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*/
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string maybePrivate() {
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result =
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"(?is).*(" +
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// Inspired by the list on https://cwe.mitre.org/data/definitions/359.html
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// Government identifiers, such as Social Security Numbers
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"social.?security|employer.?identification|national.?insurance|resident.?id|" +
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"passport.?(num|no)|([_-]|\\b)ssn([_-]|\\b)|" +
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// Contact information, such as home addresses
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"post.?code|zip.?code|home.?addr|" +
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// and telephone numbers
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"(mob(ile)?|home).?(num|no|tel|phone)|(tel|fax|phone).?(num|no)|telephone|" +
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"emergency.?contact|" +
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// Geographic location - where the user is (or was)
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"latitude|longitude|nationality|" +
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// Financial data - such as credit card numbers, salary, bank accounts, and debts
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"(credit|debit|bank|visa).?(card|num|no|acc(ou)?nt)|acc(ou)?nt.?(no|num|credit)|" +
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"salary|billing|credit.?(rating|score)|([_-]|\\b)ccn([_-]|\\b)|" +
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// Communications - e-mail addresses, private e-mail messages, SMS text messages, chat logs, etc.
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// "e(mail|_mail)|" + // this seems too noisy
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// Health - medical conditions, insurance status, prescription records
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"birth.?da(te|y)|da(te|y).?(of.?)?birth|" +
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"medical|(health|care).?plan|healthkit|appointment|prescription|" +
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"blood.?(type|alcohol|glucose|pressure)|heart.?(rate|rhythm)|body.?(mass|fat)|" +
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"menstrua|pregnan|insulin|inhaler|" +
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// Relationships - work and family
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"employ(er|ee)|spouse|maiden.?name" +
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// ---
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").*"
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}
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/**
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* Gets a regular expression that identifies strings that may indicate the presence
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* of sensitive data, with `classification` describing the kind of sensitive data involved.
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*/
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string maybeSensitiveRegexp(SensitiveDataClassification classification) {
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result = maybeSecret() and classification = SensitiveDataClassification::secret()
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or
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result = maybeAccountInfo() and classification = SensitiveDataClassification::id()
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or
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result = maybePassword() and classification = SensitiveDataClassification::password()
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or
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result = maybeCertificate() and
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classification = SensitiveDataClassification::certificate()
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or
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result = maybePrivate() and
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classification = SensitiveDataClassification::private()
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}
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/**
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* Gets a regular expression that identifies strings that may indicate the presence of data
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* that is hashed or encrypted, and hence rendered non-sensitive, or contains special characters
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* suggesting nouns within the string do not represent the meaning of the whole string (e.g. a URL or a SQL query).
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*
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* We also filter out common words like `certain` and `concert`, since otherwise these could
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* be matched by the certificate regular expressions. Same for `accountable` (account), or
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* `secretarial` (secret).
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*/
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string notSensitiveRegexp() {
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result =
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"(?is).*([^\\w$.-]|redact|censor|obfuscate|hash|md5|sha|random|((?<!un)(en))?(crypt|(?<!pass)code)|certain|concert|secretar|accountant|accountab).*"
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}
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/**
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* Holds if `name` may indicate the presence of sensitive data, and `name` does not indicate that
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* the data is in fact non-sensitive (for example since it is hashed or encrypted).
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*
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* That is, one of the regexps from `maybeSensitiveRegexp` matches `name` (with the given
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* classification), and none of the regexps from `notSensitiveRegexp` matches `name`.
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*/
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bindingset[name]
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predicate nameIndicatesSensitiveData(string name) {
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exists(string combinedRegexp |
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// Combine all the maybe-sensitive regexps into one using non-capturing groups and |.
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combinedRegexp =
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"(?:" + strictconcat(string r | r = maybeSensitiveRegexp(_) | r, ")|(?:") + ")"
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|
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name.regexpMatch(combinedRegexp)
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) and
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not name.regexpMatch(notSensitiveRegexp())
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}
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/**
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* Holds if `name` may indicate the presence of sensitive data, and
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* `name` does not indicate that the data is in fact non-sensitive (for example since
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* it is hashed or encrypted). `classification` describes the kind of sensitive data
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* involved.
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*
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* That is, one of the regexps from `maybeSensitiveRegexp` matches `name` (with the
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* given classification), and none of the regexps from `notSensitiveRegexp` matches
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* `name`.
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*
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* When the set of names is large, it's worth using `nameIndicatesSensitiveData/1` as a first
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* pass, since that combines all the regexps into one, and should be faster. Then call this
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* predicate to get the classification(s).
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*/
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bindingset[name]
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predicate nameIndicatesSensitiveData(string name, SensitiveDataClassification classification) {
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name.regexpMatch(maybeSensitiveRegexp(classification)) and
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not name.regexpMatch(notSensitiveRegexp())
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}
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}

shared/concepts/qlpack.yml

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name: codeql/concepts
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version: 0.0.0-dev
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groups: shared
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library: true
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dependencies: null
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warnOnImplicitThis: true

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