Malicious PDF — malware analysis report

Static analysis result for SHA-256 f69bc78cfb27d102…

MALICIOUS

PDF

64.2 KB Created: 2020-11-06 12:56:58 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-14
MD5: 474f93edd0c67ad06eeb42e08f214c8c SHA-1: 3648a537cac8eb0036e0c9ed0b71a37d5e3ecacc SHA-256: f69bc78cfb27d1026e3e5e1fa77f41402c5e2e47c53bcc094e506b32b07dea7b
134 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains embedded links that redirect to a known malicious URL, identified by multiple heuristics as a redirector for phishing or malware distribution. The document body, though heavily obfuscated, contains the same malicious URL, suggesting it's the primary lure. No scripts were extracted, but the PDF structure itself facilitates the malicious redirection.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • 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.
  • Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK
    PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
  • Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL
    The same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
  • 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://ggtraff.ru/aws?keyword=macros+for+warlocks+wow+vanilla In PDF document text
    • https://batagokefo.weebly.com/uploads/1/3/1/0/131070859/c2f90aa.pdfIn PDF document text
    • https://rixokofumi.weebly.com/uploads/1/3/1/3/131380985/wizevu.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/cab891ae-4698-4551-8fbb-8cf00ac6f1c6/82477141327.pdfIn PDF document text
    • https://s3.amazonaws.com/nonabafat/jowowuvakakepobir.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1cb246af-1592-4eb9-ad95-ff14a4a9b0e9/sovanilamixumezawulasuf.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/13df178a-acd6-4c78-ac31-080bd7cf6a0c/53456743682.pdfIn PDF document text
    • https://s3.amazonaws.com/magapeguwabe/komewanotivuvivo.pdfIn PDF document text
    • https://s3.amazonaws.com/rubidokezive/bahaya_merokok_bagi_pelajar.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c3b4d731-fb4f-4bbf-aab1-0c86e2b81c8e/avis_de_deces_dna_colmar.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b1785c21-65dc-4323-9ad5-12f1c13f50df/87225066257.pdfIn PDF document text
    • https://s3.amazonaws.com/nepawigexa/dolor_abdominal_agudo.pdfIn PDF document text
    • https://s3.amazonaws.com/xokebore/75410303882.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/60ea3af8-bade-47a5-bc68-4fef0e4427dd/zanodonoturefu.pdfIn PDF document text
    • https://s3.amazonaws.com/zetare/jurukinakajojuwivides.pdfIn PDF document text
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
    • http://purl.org/dc/elements/1.1/In PDF document text
    • http://ns.adobe.com/pdf/1.3/In PDF document text
    • http://ns.adobe.com/xap/1.0/In PDF document text
    • http://ns.adobe.com/xap/1.0/mm/In PDF document text
    • http://ns.adobe.com/xap/1.0/rights/In PDF document text
    • http://scripts.sil.org/OFLIn PDF document text
    • http://dejavu.sourceforge.netIn PDF document text
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000a33c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA33C 5096 bytes
SHA-256: 623e7a3d8af61d816c276de649ea4ec71a9ec74a4fc6a4e4ad8b4e108cacaa40
font_01_sfnt_off0000b4c6.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB4C6 11876 bytes
SHA-256: 820b29a83fb99a6257d53496ffd076e4aea21edcb0f40460937ab582d5f27d55
font_02_sfnt_off0000ddb5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xDDB5 16340 bytes
SHA-256: ee51351c9eb8c6a9dbff1bb743467f39bbaa64eee970481c040e8f02c1ffc4b8