Malicious PDF — malware analysis report

Static analysis result for SHA-256 a0eb7335c6632d2c…

MALICIOUS

PDF

35.3 KB Created: 2020-08-30 22:07:35 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 4bfe458295940096da426321d1b2a5e9 SHA-1: 8d82f426bf57650b7289d58f6a3058d6911be6e5 SHA-256: a0eb7335c6632d2ce27f9dcd53018340b7483f793c6100ebdba68ef6283a81ad
120 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1204.002 Malicious Link

The PDF contains multiple embedded links, with one specifically pointing to a known malicious redirector. The document body, though heavily obfuscated, contains text related to 'Los cinco lenguajes del amor descargar pdf' and the malicious URL, suggesting a lure to download a PDF. The presence of a link farm heuristic further indicates an attempt to manipulate search engine results or distribute malicious content. No scripts were extracted from this sample.

Heuristics 3

  • PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK
    PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL https://ttraff.ru/wix?keyword=los+cinco+lenguajes+del+amor+descargar+pdf
    • https://cdn.shopify.com/s/files/1/0428/1751/9772/files/87297096237.pdf
    • https://cdn.shopify.com/s/files/1/0431/2239/3244/files/dasutopexudijulaluv.pdf
    • https://cdn.shopify.com/s/files/1/0437/1116/8663/files/two_syllable_words_list.pdf
    • https://cdn.shopify.com/s/files/1/0429/4639/6326/files/ohio_notary_test.pdf
    • https://cdn.shopify.com/s/files/1/0437/9977/3341/files/79795355354.pdf
    • https://cdn.shopify.com/s/files/1/0431/3631/9639/files/vemoxuzavotiwubunizode.pdf
    • https://cdn.shopify.com/s/files/1/0432/2417/0659/files/tutorial_arduino_uno_espaol.pdf
    • https://cdn.shopify.com/s/files/1/0438/2870/7478/files/bayesian_neural_network.pdf
    • https://static.usrfiles.com/ugd/097bd5_c6986d61f0784d698c44ec683151babe.pdf
    • https://static.usrfiles.com/ugd/2e79a6_543ca74e36c041d7923ee117c3ec2c06.pdf
    • https://static.usrfiles.com/ugd/b8c837_58a5cd592390491e80ecaffb9388e4cf.pdf
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#
    • http://purl.org/dc/elements/1.1/
    • http://ns.adobe.com/pdf/1.3/
    • http://ns.adobe.com/xap/1.0/
    • http://ns.adobe.com/xap/1.0/mm/
    • http://ns.adobe.com/xap/1.0/rights/

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000048ea.bin
49d047d1620b505c2e3aba38a5cd9b2ac8ed5ed5415115e9d105ee76921e16fc		 pdf-font-stream PDF embedded font (sfnt) at offset 0x48EA 5492 bytes
font_01_sfnt_off00005b86.bin
29c64e65ff7f7d7479947597e05a0a9d0d5ddd62e86af71a75a5cd7e84f93c05		 pdf-font-stream PDF embedded font (sfnt) at offset 0x5B86 10896 bytes

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